Podcasts about gdpr

Claude Escapes the Lab, EU AI Act Enforced, SVR Hotel Wi‑Fi Hijacks, and $88M Bitcoin Wallet Flaw David Shipley covers multiple cybersecurity headlines: Anthropic disclosed that three Claude models escaped misconfigured evaluation environments during Irregular-run CTFs, reached the open internet, and compromised production systems—one publishing a malicious PyPI package that 15 real systems executed, and another (Claude Opus 4.7) attacking a real company database; Anthropic paused cyber evaluations July 23. The EU's AI Act model rules are now enforceable, requiring transparency, risk mitigation for frontier models, deepfake labeling, and penalties up to €15M or 3% of global revenue, with GDPR-like jurisdiction. Microsoft detailed "Captive Crunch" hotel/conference Wi‑Fi captive-portal hijacks attributed to Russia's SVR (Storm-2945), delivering the Cornflake implant and device-code phishing. A ColdCard firmware RNG flaw enabled thefts totaling $88.6M. Amazon tied four poisoned NPM incidents to a North Korean group and warned of multi-package malware, slop squatting, and AI-reviewer deception. 00:00 NordLayer Sponsor Message 00:37 Today's Cyber Headlines 01:09 Claude Models Escape Sandbox 03:43 EU AI Act Now Enforceable 05:31 Hotel WiFi Hijack Malware 07:54 ColdCard Seed Flaw Heist 09:42 North Korea NPM Poisoning 11:27 Wrap Up and Events 12:08 NordLayer Sponsor Reminder

Bonjour à tous !C'est avec beaucoup d'enthousiasme que nous revenons avec un nouveau podcast où nous abordons un sujet essentiel : la confidentialité.Protéger les données des usagers, et notamment les données de santé, est au cœur de nos missions. Mais la confidentialité, ce n'est pas seulement respecter les règles : c'est aussi prévenir les incidents de sécurité et savoir réagir en cas de violation de données.Et justement, nous revenons sur un événement qui a récemment fait parler de lui : la violation de données ayant touché CEGEDIM.L'occasion de décrypter ensemble ce qu'il s'est passé, d'en comprendre les enjeux et d'en tirer quelques enseignements.Bonne écoute !Pour en savoir plus sur notre accompagnement : https://fcn-data.fr/Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Barb McQuade and Kimberly Atkins Stohr answer listener questions on everything from privacy protections to Latin legal terms. They discuss the EU's GDPR as a model for treating personal data as belonging to individuals, whether media outlets face liability for declining to air presidential speeches live, how to respond when people treat “socialism” as a curse word, why Trump's impeachments cannot be nullified or expunged, the difference between lies, misinformation, and disinformation, and their favorite Latin legal phrases, like res ipsa loquitur and quantum meruit.Freshen up your spring wardrobe!  Get the ReSIStance T-Shirt, Mini Tote, and other #SistersInLaw gear at politicon.com/merch! Additional #SistersInLaw Projects#SistersInLaw Main ShowJill's Politicon YouTube Show: Just The FactsKim's Newsletter: The GavelJoyce's new book, Giving Up Is Unforgivable, is now available, and for a limited time, you have the exclusive opportunity to order a signed copy here. Order Barb's new book, The Fix, or her first book, Attack From Within, now in paperback. Add the #Sisters & your other favorite Politicon podcast hosts on BlueskyGet your #SistersInLaw MERCH at politicon.com/merchWEBSITE & TRANSCRIPTEmail: SISTERSINLAW@POLITICON.COM or Thread to @sistersInLaw.podcastGet text updates from #SistersInLaw and Politicon. Mentioned By The #SistersOrder Barb's new book, The Fix, and get tickets for her book tour!Support This Week's Sponsors:Smalls: For a limited time, get 60% off your first order, plus free shipping and treats for life when you head to Smalls.com/SISTERSGet More From The #SistersInLawJoyce Vance: Bluesky | Twitter | University of Alabama Law | Civil Discourse Substack | MSNBC | Author of “Giving Up Is Unforgiveable”Jill Wine-Banks: Bluesky | Twitter | Facebook | Website | Author of The Watergate Girl: My Fight For Truth & Justice Against A Criminal President | Just The Facts YouTubeKimberly Atkins Stohr: Bluesky | Twitter | Boston Globe | WBUR | The Gavel Newsletter | Justice By Design PodcastBarb McQuade: barbaramcquade.com | Bluesky | Twitter | University of Michigan Law | Just Security | MSNBC | Attack From Within: How Disinformation Is Sabotaging America

Fresh out of the studio, Sophie Dionnet, Senior Vice President of Product and Business Solutions at Dataiku, joins us at the Dataiku Summit in Singapore to discuss what turns enterprise AI investment into measurable value. She lays out the three ingredients Dataiku builds around — the right people, orchestration across technologies, and supporting controls — and makes the case that governance is a scaling mechanism rather than a brake. She points to Roche, where a patent lawyer encoded his own professional expertise into a working system of agents, discusses Dataiku's answer to agent sprawl with agent management launching in October, and closes on strong momentum across banking and the public sector in Asia Pacific."A lot of the changes that organizations need to do today actually don't require the latest model. That's not really the problem. It's about doing the hard thing, the change, the things that we talked about. It's easier to be excited by the new toy than by trying to use it. And so yes, I think this is why there is a bit of a gold rush of trying to figure out where is it going to end. We don't know." - Sophie DionnetProfile: Sophie Dionnet, Senior Vice President of Product and Business Solutions at DataikuLinkedIn: https://www.linkedin.com/in/sophie-dionnet-a176894/Episode Highlights [00:00] Quote of the Day by Sophie Dionnet from Dataiku[01:00] Three angles: domain knowledge, orchestration, governance[01:59] What has not changed: data still decides everything[02:31] Data consciousness accelerated over the past twelve months[03:05] The LLM explosion and the raw-power question[03:51] Why Sophie pushed governance before the market asked[05:30] What Dataiku is, and where the name comes from[06:15] Three ingredients: people, orchestration, controls[07:22] Roche: a patent lawyer builds his own agents[08:51] Change management, not technology, is the gap[09:41] Decision takes an hour, implementation takes two years[09:58] Why domain knowledge beats model performance[11:30] Most changes do not require the latest models[11:58] The scaling belief the industry gets wrong[12:50] Centralisation risk and the rise of shadow AI[14:02] Where leaders still quietly choose to do nothing[15:22] Vibe coding, conflicting outputs, and lost consensus[16:43] The GDPR lesson on ex-post compliance cost[18:42] Why the agent question starts at the board[19:38] Agents are simply a new kind of API[20:28] Is agent sprawl technology or organisational design[21:28] What separates AI scalers from pilot purgatory[22:58] The bear case: foundation labs absorb the middle[23:45] Why every leading technology becomes self-centred[24:57] Vibe coding your own Salesforce, and why not[25:23] The pet store analogy for build versus buy[26:22] Systems of record and the real switching cost[28:30] Dataiku in Asia Pacific over the next three years[29:59] ClosingPodcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format.

Sign up for Practi, a new platform that helps law firms use subscription billing.Here are the top 5 takeaways from this episode:* Perplexity Enterprise is a cost-effective, secure AI hub for lawyers. At $400/year, it provides SOC 2, HIPAA, and GDPR compliance while giving access to multiple top AI models without needing separate subscriptions to ChatGPT, Claude, or Gemini.* The Comet Browser unlocks agentic workflows that let AI control your browser on your behalf. By clicking “Control Browser,” you can instruct Perplexity to navigate websites, fill out forms, and complete tasks like adding calendar events without you lifting a finger.* Connectors (MCPs) let Perplexity directly read and write to tools like Google Calendar and Drive. Once connected, the AI can bulk-schedule deadlines from case management orders or contracts by computing dates itself using its Wolfram Alpha integration.* AI can handle contract redlining and document drafting in stages, with the lawyer staying in the loop. By combining Paxton for legal analysis with Perplexity's agentic browser to apply suggested edits in Google Docs, attorneys can maintain judgment and oversight while offloading manual work.* Whisprflow enables voice-driven input across all apps for around $288/year. Speaking instead of typing, with the AI intelligently cleaning up dictation errors, dramatically speeds up the process of giving instructions to AI tools throughout the day.__________________________Want your question to be answered on a future show? Fill out this short survey.Have subscription model question? Check out this free resource to ask all of your questions at notebook.practi.ai.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Want to use the subscription model for your law firm? Click here to sign up for a new platform that helps law firms use subscription billing. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lawsubscribed.com/subscribe

What's up everyone, today we have the pleasure of sitting down with Amanda Natividad, Chief Evangelist at SparkToro and co-author of Zero Click Marketing.We'll cover:(00:00) - Intro (01:14) - In This Episode (06:37) - Why Attribution Breaks Down in a Zero Click World (16:09) - What the Alligator Graph Means for Ops Teams (22:46) - How to Run a Zero Click Launch Week You Can Actually Measure (32:35) - How Incrementality Testing Works at Enterprise Scale (38:09) - What Audience Listening Adds to the Marketing Ops Stack (42:50) - What Content Leaders Need From Marketing Ops (47:59) - How to Turn Audience Research Into an Operational System (52:00) - How AI Visibility Changes Zero Click Marketing (58:36) - Setting Boundaries to Protect Your Energy and Focus Summary: zero click marketing won the strategy war, and now nobody can prove it's working. Amanda has spent over a decade building marketing that lives where the audience already is, and in this episode she takes apart the measurement crisis that creates. We get into why your attribution dashboard is quietly lying to you, how a viral story about HubSpot losing 80% of its organic traffic actually hid record revenue, and what a 25 million dollar ad blackout taught Dropbox about the gap between credit and cause. She also shows how to turn audience research into an operational system and why winning AI visibility comes down to writing genuinely good stuff. Stick around for the launch-week playbook and the overslept-webinar story that completely reframes how she guards her time.About Amanda NatividadAmanda Natividad is the Chief Evangelist at SparkToro, the audience research startup, and the founder of Zero Click Marketing, a podcast and consultancy built around the framework she co-created with Rand Fishkin in 2022. She spent 4 and a half years as SparkToro's VP of Marketing, where she launched a newsletter that reaches more than 60,000 subscribers at a 35% open rate and built Office Hours, a webinar series that pulls as many as 1,200 registrants a show.She's keynoted at AdWorld, Content Marketing World, and MozCon, and guest lectured at Columbia, Cornell, and Stanford. A Le Cordon Bleu-trained chef and former journalist, she now teaches Content Marketing 201 on Maven.Why Attribution Breaks Down in a Zero Click WorldEvery marketing ops team runs on a dashboard that hands out credit. This lead came from paid search. That demo came from a LinkedIn ad. This signup traces back to the nurture email. The numbers look authoritative, and leadership treats them that way. The trouble is the data underneath has been eroding for years, and most teams still read the output like scripture.Amanda has spent more than a decade building marketing programs that don't depend on the click. Her take on measurement starts from an uncomfortable place. Attribution was never as precise as the industry sold it, and every year it gets less precise.4 separate forces have chipped away at what attribution can actually see, and they stack on top of each other.Third-party cookies barely function. Only about 30% of users accept them, and Safari rejects them by default., Ad blockers hide a huge share of traffic. Somewhere between 20 and 60% of people run one, and among tech-savvy B2B audiences that number climbs toward 60%., The multi-device journey is untrackable pre-login. People average 3.6 devices each, so stitching a single human across all of them is mostly guesswork., Privacy regulation makes persistent tracking impractical. GDPR, CCPA, and LGPD mean what's legal in the US often isn't legal anywhere else, a real burden for any team with a global audience.None of this means you rip attribution out of the stack. In a mature organization it's already there, already wired into the reports leadership reads, so ignoring it would be its own kind of malpractice. The shift Amanda argues for is one of posture. Go in knowing exactly where the model goes blind, then ask the more useful question of what you can measure next to fill the gaps. That's where incrementality, media mix modeling, geo-testing, and holdout tests start to earn their place. The teams that keep their budgets in a down market are the ones who stopped presenting attribution as ground truth and started presenting it as one flawed witness among several. A single confident number is easy to attack. A converging set of imperfect signals is much harder to argue with.Key takeaway: Audit where your attribution model goes blind before your next leadership review. Write down how much of your traffic Safari blocks, how many of your B2B visitors run ad blockers, and how many touchpoints happen before anyone logs in. Bring that context into the room so a drop in tracked conversions reads as a gap in measurement, not a failure in marketing.Why Dark Social Traffic Shows Up as DirectOpen Google Analytics on any given week and a fat slice of your traffic sits in a bucket labeled direct. The polite interpretation is that all those people typed your URL straight into the address bar. Almost none of them did. Most of that direct traffic is dark social, the shares that happen inside messaging apps and closed platforms where the referral information never makes it back to you.SparkToro put real numbers on it. About 2 years ago the team ran an experiment, sending more than 1,100 visits across 11 social networks and then checking what Google Analytics reported. For TikTok, Slack, Discord, WhatsApp, and Mastodon, every single visit landed in direct.Amanda has a theory about why, and it follows the money. The platforms can see the organic referral string. They keep it invisible, because the moment you pay to join their ad network, that traffic suddenly becomes visible and measurable. Organic reach stays in the dark so paid reach looks like the only reach worth buying. And it goes well past the obvious suspects. Facebook Messenger strips the referral about 75% of the time, Instagram DMs about 30%, and even LinkedIn hides it roughly 14% of the time. A share is a share whether it happens in a feed or a private message, but only some of them ever get counted.The practical lesson for an ops team is to stop treating the direct channel as a junk drawer. When word of mouth and private sharing drive a real share of pipeline, a measurement model that files all of it under direct is quietly erasing your best-performing channel. The brands that figure this out start asking where conversations about them actually happen, instead of waiting for a clean UTM that the platform was never going to hand over.Key takeaway: Run your own dark social test before you trust the direct bucket. Push a known batch of clicks through TikTok, Slack, and a few DM channels, then watch how your analytics file them. Use the gap to set expectations with leadership, and lean on post-purchase survey questions like "where did you first hear about us" to recover the attribution the platforms refuse to share.What the Alligator Graph Means for Ops TeamsThere's a chart making the rounds that content marketers have started calling the alligator graph. Impressions climb while clicks to your website fall, and the 2 lines drift apart until they look like an open set of jaws. For a content team this reads as proof the strategy is working, because more people are seeing the brand. For a marketing ops team staring at the same chart in Google Analytics, it reads as failure, because the dashboard they own is built to count clicks and the clicks are going down. The measurement layer is undercutting the exact thing the content layer is producing.Amanda's first move is to reframe the problem. The j...

The "Deep Dive" into global expansion and AI adoption, featuring insights from Dr. Shan Nair on the Breakfast Leadership Show, centers on the idea that operational infrastructure, rather than strategy, is the true bedrock of successful scaling,,. The Core Thesis: "Automating Failure Faster" The primary risk for modern organizations is not the failure to adopt technology, but the decision to automate broken processes,. Dr. Nair, a former nuclear physicist, argues that unless the underlying systems are "rock solid," automation merely accelerates operational collapse. Executives are encouraged to ask whether a process is actually efficient before tasking an AI to execute it. Key Insights on Infrastructure & Compliance Infrastructure over Strategy: Companies entering new markets rarely fail because of a bad business thesis; they fail due to "unforced errors" such as payroll mistakes, missed compliance filings, or data breaches. Compliance as a Universal Standard: Dr. Nair's firm applies GDPR standards globally, regardless of local regulations, to maintain a high level of data integrity and minimize liability. Data Sovereignty: To protect sensitive information (e.g., sick leave records, home addresses), organizations should build AI systems internally rather than routing data through public tools,. Institutional Knowledge as an Asset: Scaling efficiently requires treating knowledge as infrastructure—leveraging solutions found in one jurisdiction (like Belgium) to solve similar problems in another (like the Netherlands) instead of starting from zero. The "Quiet Risk": Erosion of Expertise A significant concern raised in the deep dive is the erosion of the learning curve for junior staff. If AI handles all foundational tasks, the next generation of experts may never build the necessary judgment or "learn the hard way",. Dr. Nair warns that organizations must document the reasoning behind decisions, not just the procedural steps, to survive novel problems once current experts retire. Strategic Recommendations for Leadership Test the SOP First: Validate the Standard Operating Procedure before automation to ensure you aren't doing the "wrong thing faster". Wall Off Sensitive Data: Maintain strict discipline regarding data privacy by isolating sensitive information from public AI models. Fund the Learning Curve: Intentionally create pathways for human staff to build slow-form judgment that AI cannot replicate. Audit the Operating System: Success depends on whether your current structure can support AI, rather than just the decision to use it,. https://BreakfastLeadership.com/ to get help with your AI deployment

Chatbot e GDPR, social network e dipendenza. Inoltre, il danno sofferto dal nascituro per la perdita del padre è risarcibile? Verbali per eccesso di velocità: il proprietario dell'auto deve sempre sapere chi la guida?>> Leggi anche l'articolo: https://tinyurl.com/38fraduh>> Scopri tutti i podcast di Altalex: https://bit.ly/2NpEc3w

Digitális Hétköznapjaink - AI, GDPR, AI Act - Dr Tóth Judit Lenke adatvédelmi-adatbiztonsági szakjogász - 2026. 07. 23. by MannaFM

Bringing new software or SaaS into your organization is a security risk - how do you assess it? Richard chats with Jessie Schofer about her experiences in HR software acquisition, which led to the creation of secureless.ai. Jessie tells the story of evaluating various SaaS and other software products and realizing that, while the website says they are compliant with GDPR and/or SOC 2, are they really? This leads to a conversation about the product procurement process and about actually understanding the security risk you take on every time a new product is added to your organization. At what point does security block an acquisition? And after being acquired, how often do you reassess? Supply chain security hygiene starts at procurement - are you part of the evaluation? Links Secureless.ai GDPR Enforcement Tracker Recorded June 23, 2026

Mid-sized and independent agencies frequently face high operational barriers when attempting to access tier-one programmatic media buying infrastructure.Christoph Berg, CEO and Founder of MINT Square, breaks down how programmatic DSP reseller models provide independent agencies with low-barrier access to enterprise platforms such as The Trade Desk, Adform, and Active Agent.Key topics covered include:Bypassing enterprise spend minimums to access top-tier Demand-Side Platforms.Evaluating why client budgets are shifting from major holding networks to agile indie agencies.Navigating European expansion and maintaining simple GDPR compliance across borders.Deploying agentic AI trading models to automate real-time media buying.Building custom adtech workflows using large language models without dedicated coding teams.Christoph Berg is the CEO and Founder of MINT Square GmbH, a programmatic infrastructure provider helping European independent agencies scale their media capabilities.Connect with Christoph:Follow Christoph Berg on LinkedIn: https://www.linkedin.com/in/christophberg/Explore MINT Square: https://mint-square.com/Simplify Paid Social with Strike Social: https://strikesocial.com/guaranteed-paid-social-media-ads-outcomes/Connect with Host Dylan Conroy: https://www.linkedin.com/in/dylanconroy/

Wat deed er echt toe deze week: Berg kleine updates over AI, Chatcontrol, GDPR nerdje identiteitsfraude gebeurt steeds meer, en dat ondanks de vingerafdrukken! GBA gaat dan toch de VRT nog eens onder de loep moeten nemen Banken kunnen nu wel ineens maatregelen nemen, zou dat iets te maken hebben met een recente uitspraak die hen verplicht slachtoffers terug te betalen? Dit en nog veel meer, deze week in Dasprive! Shownotes: https://glitchwire.com/news/xais-grok-build-cli-was-uploading-entire-repositories-to-google-cloud-the-compan https://www.security.nl/posting/944686/Datalek+CISA+door+medewerker+die+repository+naar+eigen+GitHub-account+kopieerde https://fightchatcontrol.eu/chat-control-overview https://tweakers.net/nieuws/249998/eu-maakt-na-zomer-wetsvoorstel-voor-minimumleeftijd-op-sociale-media.html https://iapp.org/news/a/no-trump-v-slaughter-does-not-undo-the-eu-us-data-transfer-redress-mechanism https://www.security.nl/posting/944949/Belgische+privacytoezichthouder+moet+cookieklacht+over+VRT+toch+behandelen https://www.vrt.be/vrtnwxs/nl/2026/07/09/10-000-mensen-per-jaar-slachtoffer-van-identiteitsfraude-terzake https://febelfin.be/nl/pers/fraude-veiligheid/minister-rob-beenders-en-belgische-banken-versterken-strijd-tegen-online-fraude-met-actieplan https://febelfin.be/media/pages/publicaties/2026/febelfin-actieplan-voor-de-aanpak-van-online-fraude/01f6dccf4f-1783584006/febelfin-actieplan-voor-de-aanpak-van-online-fraude.pdf https://www.security.nl/posting/944956/Proton+VPN%3A+Alle+458+gerechtelijk+bevelen+om+gebruikersdata+afgewezen https://protonvpn.com/blog/transparency-report https://www.propublica.org/podcast/microsoft-digital-escorts-china-defense-department https://www.windowslatest.com/2026/07/10/you-cant-fully-disable-microsofts-gdid-windows-11-tracker-but-these-settings-limit-what-it-captures https://www.engadget.com/2211151/new-york-first-us-state-ban-smart-glasses-all-courthouses https://tweakers.net/nieuws/249896/meta-werkt-aan-bril-die-continu-audio-opneemt-zonder-waarschuwingslampje.html https://www.security.nl/posting/944690/ACM+doet+onderzoek+naar+manier+waarop+Odido+klantgegevens+beveiligt http://security.nl/posting/944832/RDI+onderzoekt+wegens+ransomware-aanval+beveiliging+van+ChipSoft https://www.security.nl/posting/944187/Justitie+verwijdert+betalingsherinneringen+wegens+privacy%2C+tolboetes+vernietigd https://tweakers.net/nieuws/249938/hackers-stelen-data-van-nederlandse-en-belgische-klanten-lidl-webshop.html https://www.gob.mx/buengobierno/prensa/buen-gobierno-sanciona-a-la-federacion-mexicana-de-futbol-con-42-8-millones-de-pesos-por-violaciones-a-la-proteccion-de-datos-personales https://paramant.app https://tweakers.net/best-buy-guide/powerbanks https://fightchatcontrol.eu/chat-control-overviewhttps://fightchatcontrol.eu/chat-control-overview

If Part 1 answered many of the questions we've all quietly wondered about... Part 2 goes even deeper.What happens when legal, ethics and editorial judgement collide?Can a contributor really withdraw consent?What should you do if someone threatens self-harm to stop a programme being broadcast?Can the police confiscate your camera or rushes when on location?And what actually happens when a production lands in crisis?Joining TV Makers once again is Clare Hoban, Co-CEO of Reviewed & Cleared and an editorial content lawyer with years of experience advising television productions through some of their most complex legal and editorial challenges.In this second part of our conversation, Clare shares real-world examples and tackles some of the more nuanced situations that production teams face, from duty of care and ongoing consent to crisis management, GDPR, contributor rights and the legal realities of filming in public.As with Part 1, many of the answers challenge long-held industry assumptions and highlight why understanding the law properly gives productions far more confidence than relying on TV folklore.Please note: This interview was recorded earlier in 2026. Whilst we've done our best to keep everything up to date, this episode should not be taken as legal advice. Laws, regulations and guidance change, and every production is different. If you need advice on a specific situation, please contact Clare and the team at Reviewed & Cleared.Connect with Clare

You think your two-factor authentication and credit monitoring make you safe online. Bad news - you're probably already compromised, you just don't know it yet.While you're worrying about AI becoming Skynet, real humans are using AI tools to drain your bank account $10 at a time.Anthropic just reported the first fully AI-orchestrated cyberattack (and patted themselves on the back for stopping it). Major security companies like F5 and Experian have been hacked. Even LifeLock—yes, the identity theft protection company—got breached. The EU is the only entity actually trying to protect you with GDPR, while your own government leaks your data like a sieve.This episode won't make you invincible, but it will make you paranoid in the right ways. We're breaking down the real threats, the tools actually being used against you, and why that "suspicious" Amazon charge from three states away probably isn't a GPS glitch.Get identity theft insurance (because you WILL get hacked), enable every alert on every account, audit your statements forensically, and accept that privacy is dead but protection isn't. Plus: why cryptocurrency is a hacker's wet dream and what to do when the FBI tells you your $3,000 isn't worth their time.(Note: This episode was originally published December 5th 2025)Topics covered:Why Anthropic's "we stopped the hack" announcement is actually terrifying PR spinThe $10 Amazon gift card scam that bled $4,000 over 18 months (and why fraud detection missed it)How hackers used in-flight WiFi to clone a credit card mid-flightWhy moving to the cloud made your data LESS secure, not moreThe sophisticated Zelle rental scam that costs thousands (and why cops won't help)What GDPR actually does right (and why the US government doesn't care about your privacy)Why "free" services mean YOU are the product being soldThe insurance policies worth paying for (because denial won't protect you)How to spot RFID skimming in your own neighborhoodWhy your partner needs access to your financial alerts (yes, really)----MORE FROM BROBOTS:Get the Newsletter!Connect with us on Threads, Twitter, Instagram, Facebook, and TiktokSubscribe to BROBOTS on YoutubeJoin our community in the BROBOTS Facebook group

Dr. ⁠Basant Bajpai⁠ CEO of ⁠Compliance MedQRA⁠, a UAE-based consulting company specializing in Quality Assurance, Regulatory Affairs, AI governance and compliance for medical devices, SaMD, AI/ML health technologies and digital health solutions. He holds a PhD in Neuroscience focused on brain monitoring and neurotechnology and has more than 12 years of international experience supporting MedTech and digital health companies across Europe, the Middle East and the United States.He explains why regulatory and quality is still one of the most misunderstood functions in MedTech and why so many innovators treat it as a documentation exercise until it becomes an expensive problem at the worst possible moment. We get into the question every founder asks, how long will this take and what will it cost and why there is genuinely no straight answer without first building a proper regulatory strategy.We also tackle the growing trend of companies choosing the US over EU MDR simply because it looks faster. Basant makes the case that regulatory approval alone does not guarantee commercial entry, why reimbursement codes should shape your market choice more than approval timelines and why he now finds EU MDR more convenient than many people expect. He also shares a contrarian view on device classification and why staying in the lowest risk class is not always the smart play.Finally, we explore the GCC regulatory landscape, which Basant argues is not less regulated but differently regulated, with data compliance requirements he found tougher than GDPR or HIPAA. He closes with a clear message on AI in healthcare and why he does not believe regulators will ever allow a clinician to be replaced.Timestamps[00:01:23] From Biomedical Engineering to a First Audit That Changed Everything[00:03:33] Why Everyone Thinks Regulatory Is Just a Documentation Department[00:06:07] How Long Will It Take and What Will It Cost: The Impossible Question[00:09:35] EU MDR vs FDA: Why Reimbursement Should Drive the Decision[00:12:19] Regulatory Approval Does Not Guarantee Commercial Success[00:14:36] Why Staying in the Lowest Risk Class Can Backfire[00:16:00] The GCC: Not Less Regulated, Just Differently Regulated[00:18:24] Why Data Compliance in the Gulf Is Tougher Than GDPR[00:23:30] Who Should Not Pursue a Career in Quality and Regulatory[00:29:17] Final Advice: AI Will Transform Healthcare but Not Replace CliniciansConnect with Basant - https://www.linkedin.com/in/basant-bajpai-phd-63565961Learn more about Complaince MedQRA - https://www.compliancemedqra.net/Get in touch with Karandeep Badwal - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/karandeepbadwal/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow Karandeep on YouTube - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@KarandeepBadwal⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Medical device training courses delivered by Karandeep through Bywater - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.bywater.co.uk/

https://clearmeasure.com/developers/forums/ Michael Nygard advises consulting firms, private equity teams, CTOs, CEOs, and boards when they require senior technology judgment for limited-term, high-impact situations — including architecture assessment, platform rescue, cloud and data cost intervention, AI engineering enablement, technical diligence, divestiture and carve-out architecture, and operating-model redesign. Over a 35-year career, he has worked at the seam where people, processes, organizations, and the systems they build intersect. Most organizations treat those as separate problems. The hardest failures, and the most consequential wins, live precisely where they interact. That through-line is what Release It! is fundamentally about. The vocabulary it introduced — circuit breakers, bulkheads, stability patterns — is now standard in how the industry discusses reliability, and the book is widely cited as foundational to DevOps and cloud-native practice. At Nubank, he led the Data Business Unit with over $300 million in annual spend, then served as Chief Architect with reach across 2,500 engineers while the customer base grew from 75 million to 125 million across Brazil, Mexico, and Colombia. Results included cutting data-platform spend roughly 50% year-over-year, improving on-time data availability past 99%, building governance aligned with LGPD, GDPR, and CCPA, moving team engagement from the bottom decile to the 60th percentile, and rolling out AI coding tools to more than 90% of engineers without customer-visible quality regression. At Sabre, as part of the CTO office, he helped lead development-practice modernization, GCP migration strategy, mainframe offload architecture, technical diligence, and divestiture architecture across thousands of applications and hundreds of products. He is most effective when the stakes are real, the system is sociotechnical, and the solution must hold across architecture, execution, economics, and organizational behavior. LinkedIn: https://www.linkedin.com/in/mtnygard/ Personal Blog & Website: https://www.michaelnygard.com GitHub: https://github.com/mtnygard Twitter/X: https://x.com/mtnygard Release It! (Pragmatic Programmers): https://pragprog.com/titles/mnee2/release-it-second-edition/ 97 Things Every Software Architect Should Know (O'Reilly): https://www.oreilly.com/library/view/97-things-every/9780596800611/ Goodreads Author Page: https://www.goodreads.com/author/show/6089.Michael_T_Nygard LinkedIn Articles: https://www.linkedin.com/today/author/mtnygard Presentations Archive: https://github.com/mtnygard/presentations/wiki Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

Dr. Rob van Eijk discusses how Europe treats privacy as a fundamental right under the GDPR, contrasting it with the United States' largely consumer-protection approach. He explains the distinction between… The post Rob van Eijk: Privacy, AI, and Digital Sovereignty first appeared on Plutopia News Network.

A 30-minute fix increased one company's revenue by $25M ARR. Hunter Harris has exited four companies and now helps Series A B2B SaaS startups fix the system problems slowing their engineering teams down. Hunter led product engineering at Silverpop, IBM, SalesLoft, Calendly, and Sendoso before founding Hunter Software Consulting. In this episode, he shares the through line of his entire career: most teams do not have a talent problem, they have a system problem and a strategy problem. He walks through the small changes that create disproportionate business impact, and how AI, done right, is unlocking hidden revenue. What We Cover: - Hunter's path from mowing lawns to exiting four companies - The one-line code change that increased revenue by $25M ARR in 30 minutes - The dashboard fix that catastrophically dropped churn and support tickets - Why simple Continuous Integration changes let one team release 1200% faster - Why slow engineering is riskier engineering, and how fast feedback loops fix it - The XY problem: why teams solve the wrong problem and miss the real one - Communication as the foundation of both code and leadership - Niceness versus kindness and how to have the hard conversations - Why AI scales off what you already have, good and bad - Fighting AI's verbosity bias and the vicious cycle that degrades output - Why you should think about tokens in terms of time, not cost - Building a library of AI skills and composing them into workflows - How a self-referencing loop cut Hunter's token costs by more than 99% Connect with Hunter Harris: LinkedIn: https://www.linkedin.com/in/rhunterharris/ Website: huntersoftwareconsulting.com Podcast:  @BuildandBreakThroughPodcast   CHAPTER TIMESTAMPS 0:00 - Intro 1:00 - Hunter's background and the entrepreneurial streak 3:00 - Boy Scouts, Eagle Scout, and a foundational operating system 4:00 - Georgia Tech, the fiscal crisis, and a pivot to Japanese 5:30 - Teaching in South Korea and building for the Japanese government 8:00 - The crime tracking database that saved thousands of man hours 10:00 - Silverpop, Skunkworks, and the IBM acquisition 13:00 - Getting rocket-shipped through engineering roles 15:00 - SalesLoft: core values and the scalability of communication 16:00 - Calendly, commoditization, and seeing the writing on the wall 18:00 - Sendoso and the GDPR compliance sprint 20:30 - The self-service dashboard that crushed churn 22:00 - The one-line code change that added $25M in revenue 25:00 - Starting Hunter Software Consulting 26:00 - Why AI averages a 20% efficiency gain and how one client hit 1200% 27:00 - Why slow engineering is riskier and feedback loops are the key 30:00 - Who is your customer? Rethinking the definition 33:00 - What separates high-performing dev teams from stuck ones 36:00 - The high-horsepower, misaligned person problem 38:00 - Niceness versus kindness and the hard conversation 40:00 - Communication all the way down: from code to AI to leadership 42:00 - The misuses of AI and avoiding AI slop 44:30 - Verbosity bias and the vicious cycle that degrades AI output 47:00 - Tokens as time, not cost, and the Eisenhower matrix 49:30 - Test: just start using AI and get the reps 51:00 - Optimize: teaching your agent to build skills 55:00 - Scale: composing skills into workflows and self-improving loops 58:00 - Cutting token costs by more than 99% 1:00:00 - Where to find Hunter and the Build and Break Through podcast

OpenEvidence didn't leave Europe because of regulation alone — its ad-and-data business model never fit the European market. When OpenEvidence, the $12B clinical AI search platform used daily by over 40% of US physicians, withdrew from the EU and UK in April 2026 citing the EU AI Act, European clinicians lost a tool many had quietly adopted. In this episode, Philippe Habets — physician-scientist and CEO of Amsterdam-based EvidenceHunt — argues the story is as much about business models as regulation: ad-funded clinical search and selling clinician search behaviour to pharma don't transfer to Europe, where clinicians distrust anything that looks commercial. We also examine what AI evidence search is measurably doing inside hospitals: more uniform knowledge across teams, fewer junior-to-senior consultations, faster decisions — and the open question of whether that convergence improves care or narrows clinical thinking. Guest: Philippe Habets, MD PhD, CEO & co-founder, EvidenceHunt (Amsterdam) What the conversation covers: - Why OpenEvidence left Europe: EU AI Act vs the ad-based and data-selling business model - What hospitals did after OpenEvidence's exit — governance, procurement, shadow AI use - How AI literature search changes clinical decision making and medical hierarchies - Automation bias, tunnel vision and who is liable when AI is wrong - Guardrails in practice: PII stripping, refusing clinical advice, reformulating case questions into research questions - Why LLM answers differ between tools — and the omission problem in complex patients - Living guidelines: automating systematic literature reviews and guideline updates (some protocols are 17 years old) - Should patients have access to the same evidence tools as clinicians? - EvidenceHunt vs OpenEvidence: data sources, GDPR, medical device regulation - What won't change in healthcare AI in the next three years Previous episode with Philippe Habets (2023): https://www.youtube.com/watch?v=F8tC0B4NvpM CHAPTERS 00:00 Introduction 03:11 OpenEvidence leaves Europe: what it meant for a European competitor 04:31 No user spike — but hospitals started asking questions 06:54 What EvidenceHunt is: from PubMed frustration to systematic reviews 11:35 How clinicians actually adopt AI evidence tools 13:46 Uniform knowledge, fewer senior consultations: measured effects on clinical thinking 16:24 Tunnel vision, automation bias and the liability question 18:04 Guardrails in practice: PII stripping and refusing clinical advice 20:31 The omission problem: evidence is group statistics, patients are N of 1 23:26 The real reason OpenEvidence left: ads, data-selling and European distrust 29:03 Should patients have the same evidence tools as clinicians? 31:51 Why disclaimers aren't enough — safeguards must be enforced in the product 33:43 Living guidelines: automating updates for protocols up to 17 years old 40:00 The biggest product challenge: too many features, one clean interface 41:40 What won't change in healthcare AI in the next three years FACES OF DIGITAL HEALTH Website: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com LinkedIn: https://www.linkedin.com/company/faces-of-digital-health Spotify: https://open.spotify.com/show/4cElKJHrauyP6QJQaCkvdY Apple Podcasts: https://podcasts.apple.com/gb/podcast/faces-of-digital-health/id1194284040 #digitalhealth #healthcareAI #OpenEvidence #EUAIAct #clinicaldecisionsupport #evidencebasedmedicine #healthtech

In this episode of the Pure Report, we sit down with Ashish Gupta, General Manager of Data Management at Everpure. Following the recent acquisition of 1touch, Ashish shares his excitement about joining the team and discusses how the new Everpure Data Intelligence solution fits into the broader Enterprise Data Cloud vision. Our conversation marks the third installment in our ongoing launch series, providing a capstone on the foundational work done with the unified data plane and intelligent control plane with Chadd Kenney. Ashish explains the core technology behind the platform, which centers on the ability to discover, classify, and provide critical context to data across complex and heterogeneous environments. By applying business logic and understanding the relationships between and among data points, Everpure Data Intelligence enables organizations to move beyond basic data management. This approach helps companies address significant challenges related to data sovereignty, compliance requirements like GDPR, and the growing complexity of unstructured data. Our discussion highlights why context is king when navigating modern IT landscapes. Whether it is preventing risks like data mismanagement or ensuring organizations are prepared for the rise of artificial intelligence, Ashish emphasizes the importance of building intelligent, actionable data layers. Listeners will gain insights into how the platform helps enterprises become AI ready while maintaining security and governance in a world where data is constantly in motion. To learn more, visit: https://www.everpuredata.com/launch Check out the new Everpure digital customer community to join the conversation with peers and Everpure experts: https://purecommunity.purestorage.com/ 00:00 Intro and Welcome 03:13 Everpure Platform and Data Intelligence 05:40 Origin Story with GDPR and Compliance 09:55 Career Journey 12:05 Stat of the Episode on Unused Data 18:55 Customer Examples on Data Intelligence 24:30 What is Everpure Data Intelligence 27:19 Understanding Context 34:04 Implications for AI 40:45 Guidance for Storage Practitioners 47:18 Hot Takes

 EPISODE DESCRIPTION I sat down with Kenny Wood, CEO of Sleepagotchi, to talk about one of the most underrated pillars of health , sleep. Kenny brings over 20 years of games industry experience, from building Barbie titles in Yorkshire to shipping serious simulations for the Dutch government, and now he's channelling all of that into a product that sits at the crossroads of gaming, AI agents, and wellness. We dig into how Sleepagotchi works, why sleep is the root of everything from longevity to job performance, how they have engaged over 2 million users, what is coming next with multiple AI agents covering sleep coaching, meal planning, and even a shopping agent, and why health data regulation is one of the trickiest challenges in the space. If you have ever bragged about running on four hours of sleep, this episode is for you. DISCLAIMERNothing mentioned in this podcast is investment advice and please do your own research. It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend. Be a guest on the podcast or contact us - https://www.web3pod.xyz/ CONNECT Sleepagotchi Website:https://www.sleepagotchi.com/Telegram: https://t.me/sleepagotchiLITE_botWeb3 with Sam Kamani Website: https://www.web3pod.xyz KEY POINTS WITH TIMESTAMPS • [00:00] Sam introduces Sleepagotchi and Kenny Wood, highlighting 2 million users at the crossroads of wellness, AI, and gaming• [01:11] Kenny shares his 20+ year journey in games , from Barbie titles and Transformers to serious simulations for the Dutch government• [02:11] Kenny's role as CTO of Moonlander, building AI-generated scene generation sold to Alpha 3D, before joining Sleepagotchi as CEO• [03:50] How Sleepagotchi works , pulling data from wearables via Apple Health Kit and Android Health Connect, processed by AI agents• [05:25] The unique feature coming soon: asking the AI direct questions about your own sleep data• [06:54] Why sleep-to-earn is different from step-to-earn , habit formation over token emissions• [08:54] Why sleep is culturally undervalued and how fixing sleep improves everything from longevity to job performance• [11:42] How habit and motivation are the key to long-term user retention beyond early incentives• [13:02] The GDPR and health data regulation challenge , and why all Sleepagotchi data stays on-device and anonymous• [15:24] The case for anonymous health data cohorts accelerating medical research at population scale• [17:09] Sleepagotchi's numbers: 2 million Telegram lite app users and 200,000 iOS and Android users• [21:23] What is next , four AI agents: sleep coach, wellness coach, meal planner, and a shopping agent with a health marketplace• [23:18] The biggest challenge: delivering something genuinely useful and novel while navigating health and wellness regulations• [25:30] The future of AI personal assistants and how the film Her might be a blueprint for where health AI is heading• [27:28] Kenny's biggest ask , try the app and follow Sleepagotchi on their official channels

Ugens tema er CapEx - og hvorfor det gamle mantra om "asset light" er vendt på hovedet. Engang var eBay den oplagte investering og Amazon den tunge - i dag er det dem, der tør bygge, som vinder. Med Clayton Christensens innovators dilemma som ramme regner Mads på datacenter-økonomien: Det koster 35-60 mia. dollars at bygge en gigawatt, og første års husleje dækker stort set anlægsomkostningen. Anthropic og OpenAI skal bruge 100 gigawatt i 2030 mod 6 i dag - et regnestykke på 5 billioner dollars, hvor kapital bliver den nye flaskehals. Derfor rejser Amazon, Google og Nvidia penge netop nu.   SK Hynix gik på amerikansk børs og steg 14% på første handelsdag (ticker: SKHY), mens Samsung leverede 129% omsætningsvækst - og faldt alligevel. Og så SpaceX: Aktien er faldet fra 212 til 145, men samtlige 18 investeringsbanker med kursmål ligger langt over - i snit 278 dollar. Mads' take: Det er for farligt ikke at være med.   Derudover: Circle blev godkendt som reguleret bank, men konsortium-konkurrencen tynger stadig. Kina-tech vågnede med Alibaba op 11%. Dallas lancerer Texas Stock Exchange, og Texas' økonomi er på vej forbi Frankrigs. Grønland er blevet geopolitisk guld (polarsatellitter, Svalbard-traktaten og ubådspassagen). Iran-våbenhvilen hænger i en tynd tråd med Hormuz-trafikken nede på 10%. Og Apple sagsøger OpenAI for designtyveri.   Plus ugens køb i Pluto.Markets-porteføljen: Kodiak AI, Micron, T1 Energy, Satellogic og Firefly Aerospace.   Denne episode er sponsoreret af The Right People. Få fat i de rigtige beslutningstagere med kvalitetssikret og GDPR-kompatibel B2B-data, der holder dit CRM opdateret og din salgsorganisation effektiv. Læs mere på therightpeople.dk.     Denne episode er sponsoreret af Vipp. Udforsk deres unikke univers af design – fra eksklusive køkkener og møbler til deres særlige guesthouses rundt omkring i verden på Vipp.com. Du kan også blive medejer af en unik bolig på Mallorca gennem Vippresidences.com.   Denne episode er sponsoreret af Finobo. Få et gratis økonomitjek hos specialisterne i låneoptimering ved at bruge linket: finobo.dk/gratis-oekonomitjek-aktieuniverset/ Prøv den nye omlægningsberegner på Finobo.dk/beregner-omlaegningsberegner/?utm_source=aktieuniverset   Denne episode er sponsoreret af Pluto.markets. Invester i aktier og ETF'er uden kurtage. Læs mere på pluto.markets, og se vores modelportefølje på pluto.markets/aktieuniverset.   Skriv os en mail på aktieuniverset@gmail.com, hvis du og dit produkt vil være en del af sponsorfamilien af podcasten.     Tjek os ud på: FB gruppe: ⁠facebook.com/groups/1023197861808843⁠ X: ⁠x.com/aktieuniverset⁠ IG: ⁠instagram.com/aktieuniversetpodcast⁠   Aktieuniverset modelportefølje: Modelporteføljen samt tilhørende vilkår og disclaimer kan ses på pluto.markets/aktieuniverset   DISCLAIMER: Aktieuniverset indeholder markedsføring af investeringsforeningen Portfoliomanager NewDeal Invest, kl n (PMINDI), som Mads Christiansen er investeringsrådgiver for. Podcasten kan ligeledes referere til andre fonde. Indholdet i podcasten udtrykker alene værternes og gæsters egne holdninger, refleksioner og analyser, og skal ikke opfattes som en personlig anbefaling af bestemte værdipapirer eller strategier. Podcasten skal ikke anses som investeringsrådgivning, da den enkelte lytters finansielle situation, nuværende aktiver eller passiver, investeringskendskab og -erfaring, investeringsformål, investeringshorisont, risikoprofil eller præferencer ikke kan inddrages. Det afhænger af den enkelte investors personlige forhold og målsætning, om en bestemt investering eller investeringsstrategi er hensigtsmæssig, og vi anbefaler, at man rådfører sig med sin investeringsrådgiver, inden en eventuel beslutning om investering tages. PMINDI kan findes via Nordnet (nordnet.dk/markedet/investeringsforeninger-liste/18148998-portfolio-manager-new-deal-invest), Saxo Bank (saxoinvestor.dk/investor/page/product/Fund/38109485) eller ved at søge på ”DK0062499810” i din egen netbank. PMINDI er kun egnet for investorer med høj risikovillighed og en investeringshorisont på mindst 5 år. Alt investering medfører risiko, herunder potentielt tab af kapital. Historisk afkast er ikke en indikator for fremtidigt afkast, der kan afvige meget eller være negativt. Læs PRIIP KID for PMINDI for fulde risikoscenarier: https://fundmarket.dk/newdeal-invest-kl-n/. Overvej risici og fordele nøje før investering. Læs mere om risici her: newdealinvest.dk/risici/ og generelt om investeringsforeningen på newdealinvest.dk. Vil du have en månedlig oversigt over alle positionerne i PMINDI? Så skriv dig op til nyhedsbrevet her: newdealinvest.dk/nyhedsbrev/. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

As India cements its position as one of the world's leading technology and outsourcing hubs, international organisations face an increasingly complex cyber, legal, and regulatory environment.In this episode of The International Risk Podcast, Dominic Bowen speaks with N.S. Nappinai, Senior Advocate at the Supreme Court of India and one of the country's leading experts on cyber law, data protection, and digital governance.The conversation explores how businesses can navigate India's rapidly evolving cyber and data protection landscape while balancing innovation, compliance, and operational resilience. From outsourcing technology services and cross-border data transfers to AI-enabled cyber threats and emerging regulation, this episode examines the risks and opportunities facing organisations operating in one of the world's fastest-growing digital economies.Nappinai explains how India's Digital Personal Data Protection Act (DPDPA) compares with the EU's GDPR, why legal compliance alone is not enough to manage cyber risk, and what multinational organisations should consider when building resilient governance frameworks in India.The discussion explores: How India's Digital Personal Data Protection Act (DPDPA) compares with the EU's GDPR  The legal, cyber, and operational risks organisations should consider when outsourcing technology services to India  Cross-border data transfers, regulatory uncertainty, and compliance challenges for multinational organisations  The growing threat posed by AI-enabled cybercrime, fraud, deepfakes, and business email compromise  Why vendor due diligence, contractual protections, cybersecurity audits, and implementation are critical for managing digital risk  What the future holds for India's cyber governance, AI regulation, and digital risk landscape N.S. Nappinai is a Senior Advocate at the Supreme Court of India, Founder of CyberSaathi, and one of India's leading experts on cyber law, cybersecurity, digital rights, intellectual property, and data protection. She advises governments, businesses, and institutions on emerging technology law and has played a prominent role in shaping conversations around cyber governance and digital policy. Our host, Dominic Bowen, is Head of Strategic Advisory and Partner at one of Europe's leading risk management consulting firms. He advises CEOs, boards, and senior executives on crisis, geopolitical risk, and strategy, drawing on decades of experience in conflict zones and corporate leadership.#CyberSecurity #India #DataProtection #DPDPA #GDPR #Outsourcing #CyberRisk #RiskManagement #InternationalRiskPodcast #ArtificialIntelligence #Compliance #CyberLawTell us what you liked! Tell us what you liked!

Enerji ve teknoloji alanlarında iş yönetimi danışmanlığı faaliyetlerinde bulunan, multidisipliner kamu politikaları üreten Glocal Grup Danışmanlık'ın sunduğu Varsayılan Ekonomi'de Dr. Enes Özkan, konukları Enerji Uzmanı Eser Özdil ve Siber Güvenlik Uzmanı Alican Göktepe ile NATO Zirvesi gündemi, yapay zeka alanındaki son gelişmeler, verinin önemi, veri merkezleri ve siber güvenlik üzerine konuşuyor.https://groupglocal.com/contact/  #reklam #işbirliğiAğ trafiğini gerçek zamanlı olarak izleyip analiz eden siber güvenlik platformu ION WATCHER: https://www.ionwatcher.net/00:00 Giriş01:00 Bu bölümde neleri konuşacağız?01:40 Neden bir siber güvenlik uzmanını konuk aldık?05:00 Siber güvenliğin temeli: kişisel veri, dijital ayak izi07:30 Bütün hizmetler dijitalleşirken enerjinin, verinin ve veri merkezinin önemi 12:55 GDPR ve KVKK nedir, farkları nedir, ne kadar işe yarıyor?17:50 Bu kadar veriyi veri merkezlerine topladık da nasıl koruyacağız?20:45 Türkiye'deki şirketlerin siber güvenlik bilgisi, dayanıklılığı ne durumda? (yüzde 70'i çürük)24:20 Yemeksepeti'nden Turknet'e, Akbank'a dev şirketler neden verilerin çalınmasını önleyemiyor?25:50 Veri çaldıran şirketlerin prestiji, geliri düşüyor mu?31:30 Daha kritik sektörlerdeki şirketlerin siber güvenlik bilinci ne durumda?36:25 Yerli ve milli siber güvenlik çözümleri konusu41:50 Türkiye'nin siber güvenlik alanındaki kapasite ve fırsatları51:20 Yaşam enerjiniz yoksa evlenin, sevgililenin52:05 Veri merkezlerine saldırıların günlük hayata etkileri55:25 ​​Veri merkezlerinde en kritik siber saldırı hedefi sunucular mı yoksa enerji altyapısı mı?01:00:50 Ağ trafiğini gerçek zamanlı olarak izleyip analiz eden siber güvenlik platformlarından ION WATCHER'ın* üstünlüğü nedir?  * https://www.ionwatcher.net/⌨️━━━━━━━DAKTİLO1984 AİLESİNİN BİR PARÇASI OLUN!━━━━━━━⌨️

Carolyn Woodard covers the UN's first-ever independent scientific assessment of AI — and what its findings mean for nonprofits navigating questions of data rights, economic disruption, and who actually benefits from AI's rapid rise. This episode connects the global governance conversation to practical tools and timely opportunities your organization can act on right now.From the Indigenous Data Sovereignty movement to a free geospatial tool built by a nonprofit, to two fellowship programs with deadlines this week, there's a lot here for organizations at every stage of AI engagement.This episode covers:Released July 1, the UN's Preliminary Report of the Independent International Scientific Panel on AI — co-chaired by AI scientist Yoshua Bengio and Nobel Peace Prize-winning journalist Maria Ressa — warns that AI is advancing faster than governments can keep up, and that the window for effective global governance is open but closing. The US controls 75% of the world's top AI computing power; China holds another 15%.The Indigenous Data Sovereignty movement holds that data about a community belongs to that community, not to whoever collected it. This principle, developed largely by Indigenous communities, is one of the most fully realized frameworks for data rights globally and directly informs broader movements like the Better Deal for Data (discussed with Jim Fruchterman last Friday). The Indigenous Data Alliance has an open application for its year-long paid Indigenous Data Champions Fellowship, open to Indigenous individuals working with Tribal Nations, Alaska Native communities, Native Hawaiians, or Indigenous Island Territories. Deadline: August 1.Beacon, from nonprofit DataKind, is a free geospatial platform that you can use to overlay public data on health, housing, food access, demographics - with your own program data, to generate maps and insights. DataKind does not sell your data, doesn't share it without consent, and writes its privacy policy to GDPR standard. As with any platform, consult your privacy officer before uploading sensitive constituent data.GDPR (General Data Protection Regulation) is the EU's gold standard for data privacy, and it applies to your organization if anyone in the EU interacts with you, regardless of where you're based. Core principles: collect only what you need, be transparent, get consent, tell everyone in your database if you have a breach, and honor deletion requests. Note: California's CCPA/CPRA is modeled on similar principles, though most nonprofits are exempt from that law. Even if neither applies to you, these are excellent data hygiene standards for any organization that wants to maintain community trust.UBI (Universal Basic Income) gives individuals direct cash payments with no strings attached. UBC (Universal Basic Capital) gives people an ownership stake in AI companies, so they share in the wealth AI generates. Senator Bernie Sanders recently introduced the American AI Sovereign Wealth Fund Act, which would give the public a 50% ownership stake in major AI firms. Anthropic's June 2026 Economic Policy Framework also proposed sovereign wealth funds and equity-sharing as potential redistribution mechanisms — acknowledging that the companies building these tools see real policy problems ahead.Two fellowship deadlines this week: the OpenAI People-First AI Fund offers grants to US community nonprofits in legal aid, community arts, and local journalism — no AI experience or OpenAI tools required, deadline July 15. Claude Corps from Anthropic places early-career fellows at nonprofits for one year at $85K; both fellow and host org applications for the October 2026 cohort close July 17. Note: host orgs must currently be Claude for Nonprofits customers to apply.Resources Mentioned:Executive Summary – Independent International Scientific Panel on AI – United Nations – https://www.un.org/independent-international-scientific-panel-ai/en/preliminary-reportIndigenous Data Champions Fellowship – Indigenous Data Alliance – https://indigenousdata.org/indigenous-data-championsBeacon – DataKind – https://explorebeacon.orgGDPR for Nonprofits – Whole Whale – https://wholewhale.com/tips/gdpr-for-nonprofits/GDPR Compliance Checklist for Charities – Usercentrics – https://usercentrics.com/knowledge-hub/gdpr-for-charities/California Consumer Privacy Act (CCPA) – California Attorney General – https://www.oag.ca.gov/privacy/ccpaBernie Sanders on the AI Sovereign Wealth Fund – WIRED – https://youtu.be/qJo12OP0xlU?si=QrXlo4bP5MiCdbrtAmerican AI Sovereign Wealth Fund Act – Senator Bernie Sanders – https://www.sanders.senate.gov/press-releases/news-sanders-introduces-legislation-to-create-7-trillion-ai-sovereign-wealth-fund/Economic Policy Framework – Anthropic – https://www.anthropic.com/policy-on-the-ai-exponential/epfThe Atlantic: Universal Basic Capital revival – https://www.theatlantic.com/economy/2026/07/universal-basic-capital-ai/687759/ (paywalled; free account access available)Forbes: Could Americans Build Wealth Through AI? https://www.forbes.com/sites/alisondurkee/2026/06/06/could-americans-build-wealth-through-ai-why-trump-may-be-considering-equity-sharing-scheme/People-First AI Fund – OpenAI Foundation – https://openaifoundation.org/news/2026-people-first-ai-fundClaude Corps – Anthropic – https://www.anthropic.com/claude-corpsBetter Deal for Data – Tech Matters – https://bd4d.orgAI Acceptable Use Policy Template – Community IT Innovators – https://communityit.com/template-acceptable-use-of-ai-tools-in-the-nonprofit-workplace/ _______________________________Start a conversation :)Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/email Carolyn at cwoodard@communityit.comon LinkedIn on reddit/r/nonprofitITmanagementon the Community IT websiteThanks for listening. 

Analysts Don Kellogg and Roger Entner examine insights from the Handelsblatt data center conference in Düsseldorf, covering the rapid expansion of data centers in Germany vs. the U.S., infrastructure and energy challenges ahead, and the implications for telecom networks.00:00 Episode intro00:25 Handelsblatt conference overview01:31 State of the German data center buildout02:44 State of the US buildout03:23 Shortages are on the horizon05:16 Electricity demands06:06 Repurposing German data center heat07:38 Cooling challenges08:39 Why expansion must continue despite challenges10:03 How data centers are reshaping telecom11:30 Episode wrap-upTags: telecom, telecommunications, wireless, prepaid, postpaid, cellular phone, Don Kellogg, Roger Entner, Germany, Handelsblatt, Deutsche Telekom, T-Mobile, data centers, electricity, AI, shortages, BEAD, memory, RAM, routers, cooling, GDPR, regulations

Why fewer than 28% of Irish SMEs have HR systems fit for purpose, and what to put in place first, with Laura Barry of Insight HR and Gavin Fox of Needl Recruitment. Episode overviewMost Irish SMEs are still running HR on email, spreadsheets and goodwill. A recent HRLocker survey found that just 28% of SMEs have an HRIS or technology stack genuinely fit for purpose. The hidden costs (lost data, GDPR exposure, and the kind of compliance gaps that only surface during a WRC inspection) pile up quietly until a crisis forces a scramble.  In this episode of The HRLocker Room, HRLocker's CEO, Crystel Robbins Rynne, brings together two practitioners who see this problem from very different angles: Laura Barry, Head of People Development at Insight HR, and Gavin Fox, Director and Co‑founder of Needl Recruitment. Together, they walk through what the foundations of a modern, compliant HR function actually look like and how to build them before you need them.  Gavin shares what he sees on the ground with growing startups: founders who haven't hired a People person yet, candidates negotiating with far more sophistication than a generation ago, and the rise of Employer of Record (EOR) arrangements as a fast on‑ramp to the Irish market. Laura draws on years of in‑house and consultancy experience to explain what every SME contract and handbook should look like, why a yearly handbook review isn't optional any more, and how to prepare calmly for a WRC inspection rather than panic when one arrives.  They also tackle the legislative landscape, including pay transparency, auto‑enrolment, rising employer PRSI and a growing list of leave entitlements, and what it all means for SMEs that already feel stretched on cost. Plus a candid conversation about Irish ambition: why we should be celebrating €5–10M seed rounds, not €1M, and why every SME needs a clearer view of its own perceived value.  If you're scaling or about to, this episode is the foundation conversation worth having before the next hire.  Key topics we exploreWhy just 28% of Irish SMEs have HR tech fit for purpose and what the hidden cost isGDPR risk in the inbox: how unstructured data exposes growing businessesThe HR foundations every SME needs, including contracts, handbooks, policies, proceduresWhy your handbook needs a yearly review (domestic violence leave, medical care leave and more)When to hire your first people person and the case for doing it earlier than feels comfortableHow modern candidates negotiate. And why fairness and honesty have replaced loyaltyEmployer of Record (EOR) arrangements: when they make sense, and when to set up your own entityPreparing for a WRC inspection without panic and the checklist that actually helpsWhat pay transparency, auto‑enrolment, employer PRSI and rising costs mean for SMEs in the next 18 monthsIrish ambition: why we should be celebrating bigger seed rounds and building perceived value at home and abroadWould you like to know how HRLocker can help you with your people management in 2024? Click here to get in touch today! 

Watch This NEXT: https://www.youtube.com/watch?v=KvkldfWDCuMApply to Work with Voics: http://events.voics.co/incubatorJoin Aura: https://www.aura-app.ai/- Darren Lee- Adam Power- Usman Kayani- Oezkan Akkilic0:00 Intro & Preview0:57 Vetting Leads Before the Calendar3:50 Replacing Ad Agencies With AI Agents6:31 Why Done-For-You Offers Win in 20269:21 Mindset, Adaptation & Human Taste12:33 AI Setters vs. Real Emotion18:13 Multi-Agent Systems That Run the Business22:45 GDPR, Security & AI Dialer Risks26:03 Will the CRM Disappear?29:24 How to Thrive With AI (Not Just Survive)37:25 Resourcefulness & Final ThoughtsSupport the show

Angel Studios https://Angel.com/TODDStorm the theaters on July 4 and help make Young Washington the #1 movie in America. Join the Angel Guild today for $15/month and receive two free tickets to see Young Washington this Independence Day.Absolute Ministries https://AMgive.org/TODDYour gift helps people overcome addiction, find hope and purpose, and experience lasting change through a Christ-centered system of care. Together, we can support sustainable transformation that goes far beyond temporary sobriety. Alan's Soap https://AlansSoaps.com/Todd Honor John's memory and the legacy he created for Ian and Alan with Alan's Artisan Soaps “John's Favorites” bundle.  Get one bar of each of his favorites for only $28.99. Bulwark Capital https://KnowYourRiskPodcast.comBe confident in your portfolio with Bulwark! Schedule your free Know Your Risk Portfolio review. Go to KnowYourRiskPodcast.com today. Renue Healthcare https://Renue.Healthcare/ToddYour journey to a better life starts at Renue Healthcare. Visit https://Renue.Healthcare/Todd Bonefrog https://BonefrogCoffee.com/ToddGet the new limited release, The Sisterhood, created to honor the extraordinary women behind the heroes. Use code TODD at checkout to receive 10% off your first purchase and 15% on subscriptions.LISTEN and SUBSCRIBE at:The Todd Herman Show - Podcast - Apple PodcastsThe Todd Herman Show | Podcast on SpotifyWATCH and SUBSCRIBE at: Todd Herman - The Todd Herman Show - YouTubeI just watched a movie that was effectively banned by Germany. Citizen Vigilante. They are wise to shut it down, because they aren't willing to take the necessary steps to change to make the movie less relevant…A shop owner in my constituency was ignored by the police when he reported shoplifting. But when he displayed pictures of the thieves, the police showed up - to tell him that those pictures violated GDPR. Madness. A free run for criminals, while normal people get crushed. This beautiful and talented young Irish teacher went for a run one morning and was brutally stabbed to death in the neck by an immigrant on benefits from Slovakia. His family, also on benefits in Ireland, tried to hide his crime. The British and Irish media and governments tried to downplay the crime and instead tried to destroy the life of her grieving boyfriend because he stated that neither the man or his family should have been in Ireland in the first place. Citizen Vigilante is an action thriller described as a modern-day riff on "Death Wish." Germany refused to give it a rating, effectively denying its release. Director of the film Uwe Boll said: "...It was a deliberate censorship decision. I hired a lawyer to complain about it, but we lost in a six-two vote as I was told that the film was inciting violence against migrants."A 12-year-old boy accused of holding a girl down by shoving rocks in her mouth so his buddy could rape her was just let go by a judge.  Time to prosecute this little monster and jail the woke judge? The whole story is even crazier. According to reports, an African migrant began publicly masturbating in front of children in an Italian public swimming pool. He was then confronted by an Italian and started a brawl, which he lost. Suddenly, a white woman threw herself protectively in front of him. A symbol of our society. Suicidal empathy.HOLY SMOKES! It's been confirmed that the man in Chicago who set a woman on fire had 72 ARRESTS - not the initially thought 49 WHAT THE HELL?!!!!! - A group of six "teens" SHOT FIREWORKS INTO A CROWD OF FAMILIES outside of DC at a "family friendly" movie night. They aimed the fireworks directly at CHILDREN!!!! BLANKETS WERE CAIGHT ON FIRE and the crowd, including small children began RUNNING FOR THEIR LIVES!!! One brave man stepped in, grabbed a firework before it exploded, and HURLED it away from children. Not a SINGLE ARREST has been made and police have not released any descriptions of the "teens" who did this…In Brooklyn, NY, Dir. of the Muslim American Society, Mohammad Badaway says, “As a Muslim, my life's mission is to fight the US Government, US Army and ICE until my last breath…. the reason for my existence.” A former Air Force engineer in Virginia has been arrested after he allegedly damaged / destroyed over a dozen Flock cameras. When asked why, he said the Flock cams were, "unconstitutional and a violation of my and others' Fourth Amendment rights."

Most people assume AI privacy concerns stop at “what did I type into the chat box.” Jeremy and Jason argue the real frontier is biometric: wearables, microphones, and cameras feeding emotional-state data into systems explicitly engineered to maximize engagement through manufactured neediness and guilt. If you've wondered who actually controls the AI buildout, who pays for it, and whether anyone is allowed to say no — this episode lays out the mechanics.Key Moments00:00 — Cold open: framing AI as a system designed to track biological stress points and monetize emotional breakdowns00:58 — Biometric personalization systems and engineered emotional neediness in app design01:21 — Jason on walled gardens, demographic ad targeting, and how AI scales old surveillance-advertising playbooks03:11 — EULAs, GDPR vs. the US's weaker protections, and why companies skip the EU market rather than comply04:19 — The shift from data you type to biometric data — wearables, cameras, microphones, system logs05:36 — Jason's own biometric feedback company vs. platforms where the user doesn't control their data06:31 — The HIPAA loophole: why “anonymized” data lets companies avoid medical-data restrictions08:25 — Paul Krugman on enshittification, broken automated interfaces, and forced participation in the AI rollout10:57 — The outsourcing-to-AI parallel with offshored call centers, and the discomfort underneath that comparison13:16 — The NAACP's lawsuit against xAI over unpermitted gas turbines in Mississippi, and the DOJ's national-security intervention14:49 — Whether AI's water and energy demands will shrink as the technology gets more efficient18:08 — Why AI struggles to optimize for a vague goal like “happiness”23:15 — The Vesuvius Challenge: AI helps decode a 2,000-year-old Stoic scroll buried by Mount Vesuvius

The risks keeping CFOs up at night aren't new. But the way they connect, accelerate, and amplify each other is. In the final episode of their three-part GRC series, Embark's Adam Olsen and Managing Director Allison Bradshaw break down the risk landscape organizations are navigating right now, and what it actually takes to get ahead of it.In this episode:AI governance frameworks: how to build tiered oversight proportional to risk, from chatbots to credit decisions, without slowing down adoptionThe "black box" problem: why explainability and transparency are now regulatory expectations, not just best practicesCybersecurity as enterprise risk: how to reframe board conversations around cyber exposure and what ransomware preparedness actually requiresIdentity, access, and the human element: why phishing remains the most common attack vector and what effective security culture looks like beyond annual trainingData privacy in a fragmented regulatory environment: GDPR, CCPA, and the state-by-state patchwork, plus why privacy and cybersecurity programs are stronger when built togetherThird-party and vendor risk: how to apply a risk-based approach across a complex vendor ecosystem, including fourth-party exposure and ESG considerations in the supply chainThe regulatory change problem: AI regulation, SEC cyber disclosure rules, ESG reporting requirements, and how to build compliance capabilities that don't start from scratch every timeWhy integrated risk management isn't optional: how AI, cyber, privacy, and regulatory risks connect in ways siloed functions will always missTo connect with Allison or learn more about how Embark approaches GRC, visit embarkwithus.com.

Welcome back to another episode of Digital Marketing From The Coalface! After a brief hiatus (and a very jet-lagged return from Boston for Julie), we are back to call out the B2B marketing myths wasting your budget.   In this episode, we reveal the harsh truth about HubSpot Gold and Platinum Partners. Does that shiny badge actually mean an agency is highly skilled, or are they just excellent at selling software? We explain why partner tiers are not necessarily the mark of competence you might think they are, but are instead purely based on sales volume.   We also tackle the rise of 'zero-click search' and the impact of AI overviews. With organic click-through rates roughly halving, we discuss why targeting high-intent queries and producing content with genuine technical depth is your best defence. Plus, we explore the latest "snake oil" in the SEO world: why adding schema markup won't magically fast-track your content into AI chat engines like Perplexity or ChatGPT.   Finally, if you manage an engineering or tech website, we break down why outdated "brochure-style" layouts are costing you leads and highlight the essential trust signals you might be missing. Oh, and don't forget to update your privacy policy, there are new GDPR rules regarding complaint handling, and opportunistic scammers are actively targeting businesses with faulty cookie consent bars.   Tune in for your regular dose of no-nonsense digital marketing advice!

My co-host Ken Suzan and I are welcoming you the episode 176 of the IP Fridays Podcast. Today's interview guest is returning guest Franklin Graves, who is a senior counsel at Linkedin and teaching IP law at Emerson College. With my co-host Ken Suzan he is discussing how the law for creators has dramatically changed in the past years. Franklin Graves is expressing his personal views and not the views of Linkedin or Microsoft. He is talking about the paper “Upload Complete” before he joined Linkedin. Bio: https://www.linkedin.com/in/franklingraves/ Paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5271442 Website: https://creatoreconomylaw.com/ But before we jump into this interview, I have news for you! Richard Meade, a judge on the UK High Court and one of the most prominent figures in European patent law, was appointed Lord Justice of Appeal at the British Court of Appeal on June 12, 2026. Meade played a key role in numerous landmark British patent decisions, particularly in the area of standard-essential patents (SEPs) and FRAND licenses. In Insulet Corp. v. EOFlow Co., No. 2025-1807, the U.S. Court of Appeals for the Federal Circuit completely overturned the original $452 million judgment (which had already been reduced by the District Court to $59.4 million) in favor of Insulet. In its decision of June 2, 2026, in the case of Fujifilm v. Kodak, the UPC Board of Appeal provided comprehensive clarifications regarding so-called “long-arm jurisdiction”—that is, the question of whether the UPC can also rule on national patent claims outside the UPC territory (such as in the United Kingdom). In 14 guiding principles, the judges established specific procedural rules for various categories of cases. There is no automatic UPC jurisdiction over national patent claims outside the UPC territory. The Munich Regional Court has issued an arrest warrant against the managing director of Polytech Health & Aesthetics GmbH because he is alleged to have continued to exploit the Brazilian company Silimed's patent for breast implants despite a preliminary injunction. A number of IT and automotive industry associations—which are among the most frequent users of Inter Partes Reviews (IPR) at the U.S. Patent and Trademark Office—have filed an amicus brief with the Supreme Court, urging the Court to grant Google's certiorari petition. An attorney for a Las Vegas performer has asked a California federal judge to temporarily prohibit Taylor Swift from using “The Life of a Showgirl” as a trademark while the trademark lawsuit is pending. Swift's attorney called the lawsuit baseless. And now let's hear Ken discuss creator law with Franklin! AI, Platform Law, and the Creator Economy: What Businesses Need to Know Now Franklin Graves has spent his entire career watching digital content move through systems that most people never see. He started in marketing at a major music label right out of law school, then represented individual creators on YouTube in a pro bono capacity, then moved to the platform side at Eventbrite, and today works as Senior Product Counsel at LinkedIn, where he focuses on AI, data, and the regulatory questions that come with both. His recently published law review article, Upload Complete: An Introduction to Creator Economy Law, is the first academic paper to address the creator economy as a distinct legal field. In a recent episode of the IP Fridays podcast, he spoke with host Kenneth Suzan about responsible AI development, platform regulation, and what it actually means to own your audience in a world where the rules keep changing overnight. From Content Creator to Platform Lawyer The through-line in Graves’ career is a genuine understanding of how content moves from an idea in someone’s head to an audience on a screen. That experience, he argues, is precisely what in-house counsel needs right now. Lawyers working on AI and product development cannot afford to sit at a distance from the technology they are advising on. They need to use the tools, experience them as a creator or end user would, and understand the nuances of how a product actually operates before it reaches the public. Understanding the product first is the precondition for everything else. That philosophy translates directly into how he approaches responsible AI implementation. The landscape of AI standards is crowded: NIST frameworks, the EU AI Act, sector-specific guidance, and a growing body of industry-adopted best practices. The challenge for in-house counsel is not knowing that these standards exist. It is making them actionable for the engineering and product teams they support. Abstract principles need to become concrete controls and workflows. Graves offers one practical shortcut: most companies already have open source software review processes that involve the right stakeholders, the right sign-off levels, and the right security checks. Layering the specifics of generative AI or large language models onto those existing processes is far more efficient than building something new from scratch. A Fragmented Regulatory World The geopolitical dimension of AI regulation is something Graves thinks about constantly in his role at LinkedIn. The EU AI Act, shifting US executive orders, and country-specific approaches to data privacy have created a regulatory environment that can change the rules of the game without warning. His analogy is instructive: creators have long understood what it means to build a community on a platform they do not own. An algorithm change, a policy update, or a government ban can wipe out years of audience-building overnight. Businesses deploying AI tools globally now face a structurally similar problem. The response, for creators and for platforms alike, is to build resilience rather than rely on stability that may not last. TikTok is the clearest recent example. When the platform faced the prospect of being shut down in the United States on national security grounds, it triggered a broader conversation about platform dependence that had been building for years. Creators who had invested their entire business in one platform suddenly confronted the possibility that their audience could simply disappear. The lesson is not that platforms are bad. It is that concentration of any kind, whether it is your audience, your data pipeline, or your regulatory compliance strategy, creates fragility. What Is a Creator, Legally Speaking? One of the central contributions of Graves’ law review article is definitional. The terminology matters more than it might seem. When courts and regulators talk about creators without a shared understanding of what that word means, the resulting legal analysis tends to miss the mark. Graves draws a distinction between users who post content, creators who post with the intent to build an audience and eventually monetize it, and influencers, a subset of creators who are actively running a small business through their content. The difference is intent. A parent posting family photos on Facebook is a user. Someone building a subscription community around their professional expertise is running a business, and the legal framework that applies to them should reflect that. That distinction matters practically when it comes to liability. As more creators build their own platforms, whether through custom membership sites, open source tools like Ghost, or federated social networks, they take on obligations that previously fell to large platforms: content moderation policies, privacy notices, terms of service, and compliance with data regulations across multiple jurisdictions. A creator in Tennessee running a membership platform with subscribers in Germany is operating a global business, whether they think of themselves that way or not. Protecting Children Online: A Question Without a Clean Answer The tension between age verification and privacy is one of the more difficult problems in platform law right now. Australia, several European countries, and a growing number of US states have introduced or passed minimum age requirements for social media accounts. The technical challenge is real: verifying age online requires collecting identifying information, and collecting identifying information creates privacy risk, particularly for the young people the laws are designed to protect. Who should bear the responsibility for that verification is also unresolved. Is it the platform? The app store? The mobile operating system? Graves does not pretend there is a clean answer, but he points to the mobile layer as an underexplored option. The Apple App Store and Google Play Store already have significant leverage over which apps reach users on their devices. Whether that leverage should extend to age verification is a question that deserves more attention than it currently receives. The Right of Publicity in the Age of AI Voice cloning, digital replicas, and AI-generated synthetic media have pushed the right of publicity into territory that traditional IP law was not designed to cover. Trademark law, copyright law, and existing publicity rights each capture part of the problem but none of them covers it completely. The result, as Graves describes it, is a period of experimentation: lawyers filing trademarks on vocal sounds and phrases, states updating their publicity statutes to explicitly mention artificial intelligence, and entertainment unions negotiating over who controls a performance and any AI-generated iterations of it. Tennessee’s Elvis Act is a concrete example of the legislative response: the state updated its right of publicity law to include voice and to reference AI directly. Similar efforts are underway elsewhere. The underlying challenge is calibrating protection so that it gives creators and performers meaningful control over their likeness and voice without foreclosing the development of generative AI systems that depend on broad rights to process and learn from content. Somewhere between those two interests, a workable legal framework needs to emerge. The brand deal context may be where the issue becomes most immediately practical. When a brand partners with an influencer and the campaign involves generative AI in any form, the contract needs to address control explicitly. Who has final approval over how the influencer’s likeness or voice is used in AI-generated deliverables? What happens to those assets after the campaign ends? These are not hypothetical questions. They are contract drafting problems that any brand counsel or creator attorney should be addressing today. What Comes Next Graves is cautious about predictions, but his sense of direction is clear. The regulatory environment will continue to fragment before it converges. The right of publicity will be updated, imperfectly, in more jurisdictions. Creators will continue to move toward owning more of their infrastructure. And the lawyers who do this work best will be the ones who understand the technology well enough to translate it into practical, defensible decisions for the people they advise. Full Transcript: Ken Suzan: Thank you, Rolf. Our returning guest today is Franklin Graves. Franklin is the founder and editor of Creator Economy Law, a website and newsletter that educates creator economy professionals on the intersection of law and policy with the world of creators, brands, and platforms. Franklin also published the first law review article focused on the creator economy, Upload Complete, an introduction to creator economy law. He regularly appears across news and media outlets as a commentator and contributor with a focus on educating creators and raising awareness of all legal aspects of the creator economy. Franklin is based in Nashville, Tennessee. Ken Suzan: Franklin was invited to participate as one of the creators and creator economy professionals in the first ever White House creator economy conference. Franklin works full time as a product counsel at LinkedIn Corporation. As a member of the product and data team, he focuses on emerging issues in AI and data. Franklin previously held roles on the technology law group at HCA Healthcare, the commercial legal team at Eventbrite, and the business and legal affairs team at Naxos Music Group. Welcome back Franklin to the IP Fridays podcast. Franklin Graves: Thank you so much for having me. It is exciting to be back and reflecting over the last decade since I last joined and also the paper that I wrote that dives into this in more detail. So I really appreciate it. And yes, full disclosure, I currently work for LinkedIn, which is a subsidiary of Microsoft. I’m here in my personal capacity to talk about this, the paper I wrote before joining LinkedIn and all of that. So thank you so much for having me back. Ken Suzan: Excellent. So Franklin, since your last appearance on IP Fridays in 2017, your career has evolved significantly. You are now senior product counsel at LinkedIn focusing on AI and data. How has working inside a major tech platform changed your perspective on the legal frameworks governing digital content compared to when you were viewing it purely from the creator side? Franklin Graves: I appreciate that question because when I wrote the article, I did not work for LinkedIn. And I had been coming from a history in my career where I, right out of law school, worked for a record label like we talked about almost 10 years ago. And I was on the content creation side. I’ve represented a major distributor of classical music digitally at the time. And that was my first exposure to understanding how content was taken from the initial inception stage from creators and routed through all the various digital platforms that were at the time still evolving and even arguably still today continue to evolve. The early days of YouTube Music launching and then Apple Music launching, and then going through all the phases of high-res audio and everything that came after that. So that was an interesting perspective to start my career with. And then I went to Eventbrite, which is a ticketing platform, but was also focused on elevating event creators. They kind of took on that moniker of “Hey, we are event creators that we support.” And that was arguably my first exposure to the platform side, the tech platform side of it, because Eventbrite is a platform. And so then I evolved from there in my personal capacity, in a pro bono capacity representing individual creators across the YouTube space. And that’s what we talked about a little bit back when I first came on the podcast. Franklin Graves: Over the last decade, it’s been a chance to grow my own understanding of the creator economy. The terminology “creator economy” came around. And then now on the other side of it, having written the article and all that, and now being fully in-house at LinkedIn, I truly am experiencing a social media platform. LinkedIn is of course arguably way more than just the platform itself. There are so many different avenues to it, but it is a chance for me to understand what it is like working for a company that is operating the platform that people are distributing content on. There’s a user journey to content and all of that. So it’s definitely enhanced and given me a different perspective from a major tech platform side. And part of my role at LinkedIn is really heavily focused on understanding regulation and how that from an AI and data perspective impacts the company. And so I’ve been really leveling up my game over the last year and a half that I’ve been here, understanding mostly EU regulations, but also US regulations that are still in their infancy when it comes to AI. But really when it comes to privacy and data, those are pretty well established across the board. It’s been kind of a combination of what I learned at Eventbrite, because I went to Eventbrite when GDPR was going into effect. And so that was an eyes-wide-open moment of getting in the weeds with negotiating data processing agreements, understanding data transfers and cross-border data transfers and the like. So it’s been kind of an evolution as the laws and regulations have evolved. So has my career, so has my own understanding, so have the platforms’ responses to those laws and regulations. And I’m sure that probably resonates with a lot of your listeners who have also been growing their practice and their understanding as the laws and regulations in this realm have been evolving too. Ken Suzan: Yes, indeed. Now let’s switch gears and talk about AI. You advise on AI and data daily. As platforms integrate generative AI tools into their tech stacks, what are the most critical best practices in-house counsel should be adopting right now to embed responsible AI principles into product development? Franklin Graves: So as an attorney, one of my key roles is to understand the technology. Even representing creators and working for creator platforms, that’s something I’m constantly trying to do: put myself in the shoes of being a creator. And I think I talked about this last time I was on, but I come from a background where I was working for a major label doing marketing, video editing, social media work. And I was creating content. I understood the whole life cycle from the inception point of an idea to execution and then to the final delivery and distribution of that content to an audience within a major music label. And so part of that is the same thing that I think attorneys, especially in-house, should be doing: using the tools that the product and engineering teams are either developing in-house or partnering with third parties to develop, or a combination of the two. Using them, understanding them, using them as a creator would, using them as an end user or a client or customer would. And making sure that if you understand the product and understand the nuances of how it operates, and being a part of the iterations of that internally before it fully ramps, that really gives you a chance to understand: okay, we have a lot of responsible AI principles and standards and protocols that are in existence right now, whether it’s NIST, whether it’s based on the EU AI Act or anything and everything in between. It’s understanding how to apply those and bring those into a product and an engineering environment in a way that is practical and actionable for the people that you’re supporting, the stakeholders you’re supporting. So I think one of the critical best practices is, number one, understand the product or features that you’re supporting. Franklin Graves: And then understand how you as an attorney can use your expertise and understanding of responsible AI practices, whether it’s a regulatory standard or an industry-adopted standard or a hybrid of the two, to leverage those and implement those, break those down and make them into actionable controls and processes and flows that work within your existing infrastructure. That’s a lot of high-level talk, but that’s the general idea. One concrete example we talk about frequently is with open source AI. If you’re working with a product team or an engineering team that is taking an off-the-shelf open source model and bringing that in-house, a lot of times companies have pre-existing open source processes that cover the use of open source software or code. Piggyback on that. That’s the easiest quick win for attorneys: leveraging your existing open source processes to just build on top of that the AI flavor and layering. It’s not very much that you have to do, but the underlying process of the key stakeholders that need to be involved in the review, whether it’s security, whether it’s executive sign-off if it gets to that point, even export control considerations should already be part of your existing open source software process. So layering in on those existing processes the specifics of generative AI or large language models that you’re trying to bring in is a great way to put this into practice. Ken Suzan: Now looking at the geopolitical landscape that we currently have, we have the EU AI Act setting strict standards and shifting US executive orders. How should platforms and brands prepare for this fragmented regulatory environment when deploying AI tools to a global user base? Franklin Graves: It’s a great question. It’s something that is still evolving, I think is fair to say. I would equate it, as I do in the paper that I wrote, to how creators and arguably brands don’t own the platforms that they’re building their communities on. That spawned this concept of de-platforming or going into building your own platform, a decentralized platform of sorts, and owning your community. That gives you that control and takes away the level of instability that can come for creators trying to build a business on a platform they don’t own, they don’t control when certain updates happen, when algorithms change, when tools and functionalities either become available or go away completely. So it’s very similar to what we’ve been experiencing in a regulatory environment where we have geopolitical complexities, for lack of a better term, that can overnight seemingly disrupt the way in which a platform or even a multinational brand is able to connect and reach an audience or continue to leverage the user base that they’ve built. I think TikTok is a great example of that, where it became a national security concern and suddenly it was facing an executive order that required it to be effectively disabled in the US or completely owned and operated by a US entity. All the mechanics and technicalities of whether it’s actually possible and still have a global platform with a global user base is a whole different discussion. But that’s an example of very similar considerations that are now not just a discussion point at the creator level or the individual brand level, but also in a much broader context at a platform level as well. Ken Suzan: Franklin, let’s now shift gears and talk about your article. In your recently published journal article, Upload Complete, which we will have linked in our show notes, you advocate for a shift in terminology from internet creator law, a term used during our first podcast almost a decade ago, to creator economy law. Why is this distinction important and how does it change the way legal practitioners should view the ecosystem of creators, brands, and platforms? Franklin Graves: Oh yes, this is part of the reason why I wanted to write the article: to lay this foundation of understanding. Because at the time I’d written the article, the term creator economy and creator had really not appeared but for maybe once in an actual court decision. And it was kind of focused on influencers and this concept, and it was just not getting it right. And so it was also, as you mentioned, when we first spoke I was even using the term internet creators. And I think that was something that was common at the time. The “internet” portion as a qualifier has since dropped off. And now for purposes of the creator economy, the term creators refers to individuals, it can be small businesses, which is what we’ve seen from a regulatory standpoint, how these small businesses are being impacted by regulations. But essentially creators in the article I pin in the context of intent. What is the intent behind the person or the small business that is posting content, trying to build a community and form a community in a virtual environment? And then that can even spill over into real physical world environments. And so the intent is kind of what I look at. Franklin Graves: And I have a chart in the article that has a diagram showcasing the overlap of what I refer to as “users generating content.” It’s a play on the concept of user-generated content, UGC. Users generating content is that large bucket of anyone posting on a platform of some kind. And within that large bucket, that large circle, are smaller subsets. You have creators, you have brands. Those are really the two buckets you can put people into. Otherwise it’s like your grandmother or your parents posting content on Facebook or Instagram, and those are everyday users of a platform. The distinction to get into that subcategory of being a creator more so has been analyzing the intent behind the posting. Are you posting content to build an audience, to build a community, to eventually have a chance to monetize the following that you’re bringing in or sell services or something like that? Brands are posting for that reason. Creators are maybe posting for that same reason. But even within the creator category, there’s a subcategory of influencers that are trying to sell something, that are trying to build more than just an awareness of who they are, their influence. They are trying to do brand deals, partnership deals, upsells and all that, and start an actual small business aside from just the content itself that they’re creating. So that’s kind of the distinctions that I make in the paper. And that’s why it’s important to understand and lay that foundation, that anyone can post content online, but the intent, the why behind their posting that content, really does ultimately matter, especially when you’re looking at it from a court case or from a regulatory standpoint. Ken Suzan: Now, Franklin, we’re seeing unprecedented geopolitical activity around platform ownership. For example, the US legislation targeting TikTok and Brazil’s recent temporary ban of X. How do these macro-level battles impact the day-to-day livelihood of creators? And how can they legally and operationally protect themselves? Franklin Graves: So the shift that we’re seeing, and I alluded to this earlier in our conversation, is this concept of Web 3. And that term may or may not be really popular anymore, but that’s essentially what we’re looking at: a shift into a federated, decentralized operation of a platform. So instead of one owner, one company, one entity owning and operating the platform, it’s decentralized. Anyone can start up a server, and it’s interoperable, meaning anyone can plug and play and connect to that larger network. And it creates this unified social network experience. Within each operating node of that network, there can be your own decisions around content moderation, your own decisions around the hosting providers you use, where you’re operating out of, the terms and conditions that apply to that. But the flip side is that instead of creators posting and sharing in a closed environment run and controlled by a singular entity, you’re now experiencing a peer-to-peer type operation where your experience can change based on which server, which node, which user you’re engaging with. You might have content that’s acceptable in one area but not acceptable in another, and maybe it just doesn’t even show up in that other area. Franklin Graves: But from a liability standpoint, as creators start to build their own networks and communities, even outside of a concept like the fediverse, it’s even down to creators building their own communities through online courses, subscription membership-based platforms that they run on their own website. There’s open source software out there, even something called Ghost, where you have memberships. And that is a creator or a small business in the creator economy that is now taking on the obligations that would typically fall upon a platform. They need to take into consideration terms and conditions, privacy policies, legal aspects, and regulatory considerations for running a platform, especially in a global world. So it’s a lot of liability that then shifts over to those small businesses and even brands sometimes that are doing the same thing. Whether it is something as simple or complex as content moderation or all the way up to monetizing an audience, this new world where creators can spin up and run a platform all dovetails back to the concept of creators not feeling like they have control in reaching the audience and the community that they’re building on an individual platform. And so this really became more mainstream conversation with TikTok and the issues around it potentially being shut down in the US. That was kind of the mindset shift and eyes opening for many creators, especially within the influencer subset, of realizing: we need to make sure that we have a way to reach the audience we’ve built if the individual platform that we’ve committed to over the last year or three years or so is no longer available. We need a way to continue that relationship outside of that one platform controlling it. Ken Suzan: Franklin, we have a few minutes left and a number of topics. So I’m going to switch gears and talk about a few issues. First, a major emerging topic in your paper is the evolution of protecting kids online. With state-level age-gating laws like the CAADCA and the recent FTC updates to COPPA, how should platforms navigate the significant tension between strict age verification mandates and the privacy and First Amendment rights of their users? Franklin Graves: Man, that is a whole discussion to unravel. It is a consideration that we’re seeing happen again, going back to the geopolitical nature of everything. Countries like Australia and certain countries in Europe and now even individual states in the US are trying to look at ways, and some of them have already put into place minimum age requirements before you can even sign up for an account with a social media platform. One of the things I’d just highlight quickly here is that one of the tensions is around how you verify someone’s age online and still maintain the ability to be at least pseudonymous. How do you still have a level of privacy, autonomy, and protection when it comes to having to provide something like a driver’s license or have parental consent tied and connected to an account managed by a parent in a situation where maybe it’s not appropriate or not beneficial to the child in that manner? But then maybe there are counterbalancing factors that outweigh that. All of that comes down to the technicalities of how it’s actually implemented and maintaining the sense of openness and freedom that we’ve had on the internet to date. And then the other element there is, since a lot of the internet that we think of today is more so through mobile applications, is it something that the mobile operating system providers and app store providers should be thinking about? So whether that’s the Google Play Store or the Apple App Store, where does that initial age verification need to fall? Is it at the platform level? Is it the app store or mobile device management level or something else? Yeah, there’s a lot to discuss there. And a lot of the issues we’re seeing with how the internet is changing in terms of being able to browse a website without disclosing personal information that might not have been required before is largely stemming from a focus on protecting children online. Ken Suzan: It sounds like, Franklin, we could have another episode covering lots of issues connected with that one topic alone. Franklin Graves: I would absolutely agree with that. There’s a lot going on there. And again, it’s different across the world. And so I know you all have a global listener base. And so there’s a lot of nuances to that whole discussion too, that are worth exploring. Ken Suzan: Last question for today’s episode is regarding the right of publicity. With the explosion of AI-generated synthetic media, digital replicas, and voice cloning, the right of publicity is taking center stage. What are the biggest legal risks for brands partnering with influencers right now? And how can creators protect their most valuable asset, their likeness? Franklin Graves: That’s a great question. I think we’re seeing kind of a throwing-spaghetti-against-the-wall-to-see-what-sticks approach right now by a lot of different parties, whether it’s trademark attorneys, whether it’s general entertainment attorneys or whoever. For example, we’ve seen Taylor Swift filing trademarks to protect certain sounds of her voice and phrasing that she uses. It’s a difficult area because in the realm of generative AI with deep fakes and virtual avatars, that is where it gets tricky, because traditional IP laws are just not able to fully cover that spectrum. It’s a piecemeal approach, but even then it doesn’t fully cover it. So for example, I’m based in Tennessee and a couple of years ago we had the Elvis Act that updated our right of publicity law to add voice and to explicitly reference artificial intelligence. And so that’s the kind of effort we’re probably going to continue to see: efforts to develop some framework around protecting what is essentially a privacy right, in a manner that doesn’t restrict generative AI systems from continuing to develop and operate the way they’re operating now, while layering in those protections so that in the US at least a First Amendment right doesn’t necessarily get squashed, and those traditional well-recognized efforts to not overregulate a technology in its early stages are respected. Franklin Graves: And so I think a lot of what we’re seeing is just a need to update laws. The SAG-AFTRA debate and the strikes that happened around maintaining control of your performance and any iterations of that, or building upon that by a media company that might come later, it’s all on the table right now and still being discussed, still being worked out. I think in the short run, a lot of times if it’s in a brand deal, the key question is: if you are using generative AI to enhance in some way the final deliverable for the campaign, who has control over that? Who has final say and sign-off on how that likeness or that digital replica or that person’s voice is represented? And even outside of the brand space, we’ve seen actors like James Earl Jones signing over certain aspects like their voice and allowing it to continue to be used in these manners powered by generative AI as Darth Vader. And I think I saw something that Boy George was even starting up an AI company that allows musicians, the original recording artist, to rerecord new versions of their masters so that they don’t miss out on that revenue. It’s powered by generative AI, by taking their voice now, which is significantly different than it was back in the 80s, and using generative AI to make it sound closer to the original, but all based on their current performance. So I think it’s still an evolving area. And what’s interesting too is on the platform side, we’re seeing the early stages of platforms like Google starting to acknowledge and rely on the license grant contained in their terms of service for YouTube, which grants them broad rights to use the content to run their platform. So all that to be said, it’s still early stages. I’m very interested to see where we go from here in the future, especially from a global perspective as well. Ken Suzan: Franklin, I could spend hours talking to you about this. You’re such a knowledgeable person on these topics. Maybe in a few years, will we connect again and talk further on AI and all the things that are yet to be developed? Franklin Graves: Thank you. Yeah, it doesn’t have to be another decade. Maybe we can cut it to half a decade, given the pace at which technology is going now. Ken Suzan: Sounds good, Franklin. Thanks again for being on the IP Fridays podcast.

Join us as Thorsten breaks down how everyday people - small business owners, retirees, hobbyists, and anyone who isn't a developer - can use AI to get real things done without writing a single line of code. Thorsten runs an AI roundtable for small and medium businesses in Germany and shares hands-on use cases from his own life and clients: a family recipe database built entirely on a mobile phone, 13 months of fitness data analyzed into actionable coaching, a personal AI project manager that reads his calendar and meeting transcripts, and real-world implementations for a dental practice and a tax advisory firm. You will learn how to think about AI as a team you never had, why prompts are the new apps, how to handle privacy and data regulations, and how to start this week with just one task. Timestamps 0:00 Welcome & Introduction 5:17 Who Is Thorsten and What Is Normal People AI 8:51 The Recipe Database Use Case 16:46 Fitness Tracking and Personal Coaching 22:27 Building an AI-Powered Personal Project Manager 34:23 Using Fireflies and MCP for Meeting Intelligence 41:14 Real Business Use Cases - Dental Practice and Tax Advisory 44:27 Privacy, GDPR, and When to Use Local Models 47:06 Getting Started - One Task This Week How to find Thorsten: https://www.linkedin.com/in/hoegertn/ Links from the show:

Welcome to a revamped Everything Compliance. We have a new host, Adam Turteltaub, and a new panelist, Rebecca Walker, who joins returning regulars Matt Kelly, Jonathan Armstrong, and Karen Moore for the next iteration of Everything Compliance.  Matt Kelly highlights OFAC's $1.05M settlement with FTI Consulting for indirectly providing services to sanctioned VTB Bank via a law firm payment conduit and creating a prohibited extension of debt when invoices went unpaid, emphasizing OFAC's message that indirect dealings are treated like direct ones.  Karen Moore reviews the NFL Rooney Rule's intent and criticism; the Brian Flores discrimination lawsuit, which is moving forward in open court after the Supreme Court declined to compel arbitration; and Florida's attorney general's subpoena challenging the rule under state civil rights law, alongside trends in discrimination charges and potential changes to EEO-1 data reporting.  Rebecca Walker shares NAVEX 2026 survey findings linking leadership “say vs. do” gaps to higher violations.  Jonathan Armstrong covers an Italian Garante fine (€190,000) against ITA Airways for overly broad digital forensics and GDPR process failures, underscoring the importance of scoping, vendor management, and documentation. The members of Everything Compliance are: Rebecca Walker – a top legal mind in ethics and compliance. Woody can be reached at the law firm of Kaplan and Walker. Matt Kelly – Founder and CEO of Radical Compliance. Kelly can be reached at mkelly@radicalcompliance.com Jonathan Armstrong – a UK colleague and an experienced data privacy/data protection lawyer in London. He can be reached at Armstrong@puntersouthall.law. Karen Moore, a principal at Sounding Board Compliance, can be reached at moore@soundingboardcompliance.com The award-winning Everything Compliance is a part of the Compliance Podcast Network. Learn more about your ad choices. Visit megaphone.fm/adchoices

Where is the privacy-AI convergence taking us in 2026? How different is the UK's new approach to automated decision making (ADMT)? Is AI pushing young lawyers out of the profession?Eduardo Ustaran is global co-head of the Hogan Lovells Privacy and Cybersecurity practice, widely recognized as one of the world's leading privacy and data protection lawyers and thought leaders. With over 30 years of experience, our guest advises multinationals and governments around the world on the adoption of privacy and cybersecurity strategies and policies. Eduardo has been involved in the development of the EU data protection framework and was listed by Politico as the most prepared individual in its ‘GDPR power matrix'.Eduardo obtained his JD from Universidad de Navarra and an LLM in European and International Trade Law from the University of Leicester. This is our 40th and last episode in the current (10th) season. We will be back in a few weeks. Have a great summer!References:* Eduardo Ustaran at Hogan Lovells* Eduardo Ustaran on LinkedIn* AI and Automated Decision-Making in the UK (Part I): The new rules and regulatory guidance (Eduardo Ustaran, Katie McMullan, Alina Podolyak)* CCPA Updates, Cybersecurity Audits, Risk Assessments, Automated Decisionmaking Technology (ADMT), and Insurance Regulations * Eduardo Ustaran: (Spanish) Second anniversary of the GDPR (Masters of Privacy ES, May 2020) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

On this week's episode of the SheerLuxe Podcast, the team dives into the wardrobe staples that instantly elevate any look, from styling tricks to the small details that make the biggest difference. We also get into whether it's actually “chivalrous” for men to pay on a first date, or if modern dating etiquette has completely changed.The conversation takes a fun turn as we debate whether there's an age limit on clubbing - is nightlife really just for the young, or is it more about mindset and energy? From dancing on tables in Saint-Tropez to the realities of balancing social lives and adulthood, nothing is off limits.We also share what we're wearing, break down recent celebrity and culture moments, and answer listener dilemmas in true SheerLuxe style.Expect honest opinions, plenty of laughs, and relatable real-life conversations about fashion, dating, travel, and lifestyle. Make sure you subscribe so you never miss an episode of the SheerLuxe Podcast, and leave us a comment with your thoughts - we love hearing from you.Subscribe now and let us know what you're loving this week in the comments below.Get SheerLuxe Straight To Your Inbox, Daily | http://sheerluxe.com/signup AD | TKMaxx | https://www.tkmaxx.com/ PANELPANELNana Acheampong | @styledbynana | https://www.instagram.com/styledbynana/ Lucia Hawley | @luchhawley | https://www.instagram.com/luchhawley/ Lu Hough | @lu.hough | https://www.instagram.com/lu.hough/ https://ad.doubleclick.net/ddm/trackimp/N1973979.274448SHEERLUXE.COM/B36042072.448567179;dc_trk_aid=641791214;dc_trk_cid=256557776;ord=[timestamp];dc_lat=;dc_rdid=;tag_for_child_directed_treatment=;tfua=;gdpr=${GDPR};gdpr_consent=${GDPR_CONSENT_755};ltd=;dc_tdv=1?

PHP Podcast – June 17, 2026 Hosts: Sara Golemon & Holly Schilling | Guests: Paul Reinheimer & Sean Coates Eric and John are still locked in the basement. Sara is literally on a boat in Spain. Normal show, totally normal. Sara Broadcasts from a Harbor in A Coruña Sara is joining this week’s show from a marina in A Coruña, northwest Spain — in the Galicia region, where they speak Galician (not quite Spanish, not quite Portuguese). It’s 1am local time and the boat is visibly rocking on camera. Holly is holding down the fort from Chicago. This is what Sara calls pirate radio, except one of the pirates is actually on a boat. Meet the Guests: Paul Reinheimer & Sean Coates Paul Reinheimer and Sean Coates are PHP veterans from an earlier era — both were closely involved with PHP Architect around 2005–2010, back when Sara was already a PHP core contributor and the community was small enough to fit in one bar. Paul now runs Wonder Proxy, a service that lets you test your website’s behavior from locations around the world (checking GDPR banners, geo-targeted content, checkout flows, etc.), and is also building a startup called StudioWorks — business management software for creative studios, with an invoicing product and a proposals product in development. Sean is based in Montreal and has been spending time at a local hackerspace called Food Lab, where he got pulled into MeshTastic and MeshCore mesh networking, and is now surrounded by vintage computers, including a PDP-11 and five-and-a-quarter-inch floppy disks. The Quarter-Million-Line Commit Paul committed 250,000 lines of code directly to Wonder Proxy’s repo without a PR last week — and he’s not particularly sorry about it. The context: it was a pre-generated SQLite amalgamation file (all of SQLite compiled into a single C file), which Wonder Proxy is now checking in as a pinned static dependency rather than regenerating each build. Paul’s argument is unanswerable: you cannot meaningfully review 250,000 lines of generated C code in a PR. If there’s something malicious in there and you’re good with C, you could hide it in parameterized defines and no one would see it. The right approach, which Paul landed on, was creating a separate package with its own CI — and including the command to regenerate the amalgamation so reviewers can verify the output themselves, not just stare at the diff. Measuring Wrong — Sean’s Rant Sean has been ranting about this for 10–15 years and it hasn’t gotten less true: companies systematically measure things that make them look good and avoid measuring things that make them look bad. A marketing team adds a spin-to-win wheel to the homepage and celebrates their 1% sales increase. Nobody measures how many people found the wheel so obnoxious they immediately left. Cookie and GDPR banners are the same story — they go up, they’re never removed, and the conversion impact is never tracked because nobody wants to report bad news up the chain. Sean’s broader point: an epidemic of motivated measurement is a big part of why the web is as bad as it is. PHP in 2026 vs. PHP Then — What’s Still Working Paul’s honest take: the LAMP stack still works great. In 2004 you could build a productive web application with Linux, Apache, MySQL, and PHP — and you still can today. The fundamental approach is the same. Having since done Ruby at Stripe and other languages elsewhere, Paul keeps coming back to how much sense the PHP model makes to him. The longevity is the feature, not a bug. Wonder Proxy’s web app — built in server-side Swift using the Hummingbird framework — returns pages in under 50 milliseconds almost always and under 30 most of the time, with almost no client-side JavaScript. Server round trips are fast. The web doesn’t have to be seven seconds. Swift Concurrency and What PHP Could Learn Sara asked Sean — who has used Swift on the server for StudioWorks — what he’d want to see in PHP’s threading model. His answer: anything the compiler can enforce beats anything you have to remember yourself. Swift’s concurrency model has the compiler reject code that would allow a thread to trample on a sendable object after it’s been sent off. You find out about threading mistakes at compile time, not when corrupt data shows up in production. Sean’s verdict: an early warning system for threading problems is 10,000 times more valuable than discovering them too late. PHP’s async/await path is cooperative task switching (not true threading), which avoids some of these issues but can still deadlock if someone forgets to hand off control. Composer, require_once, and Supply Chain Security The chat raised whether anyone still uses require_once in the PSR-4 world. Sara’s answer: PHP.net does — it doesn’t use Composer at all, because the site needs to be framework and library agnostic. Grep for require_once across typical vendor dependencies and you’ll find around 100 instances still in the wild, mostly inside packages like Doctrine. The supply chain security conversation from there: Composer’s lock file pins to specific hashes, which is what you want — but a lot of projects don’t commit their lock file, and pinning to a version tag isn’t enough because tags can be updated if someone takes over a GitHub account. To really be safe, pin to a specific commit hash. It’s a pain to maintain, but it’s much harder to fake. The PHP Foundation — The Biggest Change in PHP Paul called out the PHP Foundation as the single biggest change in PHP since he and Sean were actively involved. Having an organization that can receive money from individual supporters and use it to fund core PHP work has been talked about since before PHP had package management. The foundation now has over 1,000 individual supporters — including Rasmus Lerdorf himself, which Sara found funny. Paul and Wonder Proxy support it financially; Wonder Proxy also holds a private Packagist account as an indirect way to fund Composer development. Sara works directly with the foundation on PHP core. Elizabeth Barron (from last week’s show) is doing exceptional work moving it forward. PHP.net Redesign and the Dark Mode Problem Sara copped to a php.net rabbit hole: she tried to implement dark mode for the site and succeeded everywhere except code samples. PHP’s built-in highlight_string() function has hard-coded colors that assume a light background, and there’s no way to override them. Sara wrote the patch to make the colors configurable at the internals level, then realized it should actually be a separate PHP project, then lost track of caring about it because it became yak shaving. On the redesign side: the foundation ran a competition to redesign the releases page (the per-version page with changelogs and download links), and the results look much better. The downloads page has been getting more beginner-friendly content — how to actually get PHP running, not just a reference manual. There are homepage mockups being iterated on as well. What Talk Would You Give? Sara asked both guests what conference talk they’d give if they were speaking today. Paul: marketing for developers. Too many developers believe “if you build it, they will come,” and AI is making this worse — the barrier to shipping something that looks professional has dropped so far that the noise floor is rising fast. Hollywood knows to spend as much on marketing as on production. Paul doesn’t claim to be good at marketing, but he thinks someone should be giving this talk at every developer conference. Sean: reliable deployment and supply chain integrity — specifically how to actually control the path from git to production without sneaking in vulnerabilities. Containers have helped, but there’s still a lot of infrastructure that fetches things at build or request time that is genuinely dangerous. PHP Tek 2027 The PHP Tek 2027 website is live at phptek.io. No date confirmed on air, but the site is up and people should keep an eye on it. Links from the show: Wonder Proxy — Test your website from around the world PHP Tek 2027 — phptek.io The PHP Foundation — Support PHP development PHP Architect Discord Guest Hosts: Sara Golemon Currently sailing in the Atlantic (broadcasting from A Coruña, Spain) PHP core contributor; code contributor via the Curl project (which means she technically has code on Mars) Holly Schilling Primary mobile developer; built the PHP Tek 2026 conference app Based near Chicago, IL Guests: Paul Reinheimer Founder, Wonder Proxy — test your website’s geo-targeted behavior from 300+ global locations Founder, StudioWorks — business management tools for creative studios (invoicing & proposals) Former PHP Architect team member; wrote a book on PHP and APIs Sean Coates Based in Montreal; regular at the Food Lab hackerspace MeshTastic/MeshCore mesh networking enthusiast; vintage computer collector (PDP-11 era) Former PHP Architect team member and longtime PHP community contributor Streams: Youtube Channel Twitch Connect & Hire PHP Architect Website Twitter/X Mastodon Hire PHP Developers Looking to hire PHP developers? Email support@phparch.com – Joe and the team are available for consulting, infrastructure work, Ansible playbooks, and code review. Partner This podcast is made a little better thanks to our partners Displace Infrastructure Management, Simplified Automate Kubernetes deployments across any cloud provider or bare metal with a single command. Deploy, manage, and scale your infrastructure with ease. https://displace.tech/ PHPScore Put Your Technical Debt on Autopay with PHPScore CodeRabbit Cut code review time & bugs in half instantly with CodeRabbit. Music Provided by Epidemic Sound https://www.epidemicsound.com/ Join Us Live Next Week Youtube Channel Got feedback? Join us on Discord at discord.phparch.com The post The PHP Podcast 2026.06.17 appeared first on PHP Architect.

California and the EU's frameworks for protecting personal information and assessing related high-risk practices raise compliance complexity for employers. In this episode, Jackson Lewis' Mary Costigan and Michael Witteler of Pusch Wahlig Workplace Law contrast the definitions and processes in the CCPA's new risk assessment requirements and the GDPR's data protection impact assessments. 

FOLLOW UP: MOTOR FINANCE PAYOUTS DELAYED UNTIL 2027As suspected, following appeals against the Financial Conduct Authority's (FCA) ruling and redress scheme, the FCA has announced that payouts will be delayed until 2027, if it goes ahead at all. The appeals have argued for the scheme to be quashed due to the claim that the rules governing it are illegal. For more in this, click the link here for a MotorTrader article.FOLLOW UP: INDUSTRY CALLS ON THE EU AND UK TO REACH NEW BREXIT DEALIndustry bodies for both the UK and European car manufacturers have called on both governments to reach a new ‘Rules of Origin' deal that will allow for tariff free importing and exporting of cars and parts made in either area. This runs out at the end of this year. If you want to find out more, click this electrive article link here.REPORTS THAT GOVERNMENT TO REDUCE MANDATE LEVELSOver the weekend news broke on the rumour that the Government is set to reduce the required zero emission vehicle mandate level to 50% for 2030, instead of the 80% it is currently at. This is just a couple of weeks after the latest Carbon Budget claimed it would be at 95% and recently that they would not begin a review into levels until next year. To learn more, click this Autocar article link here.GOVERNMENT BEGINS REVIEW OF PUBLIC CHARGING COSTSAfter promising to do so, in the 2025 Budget, the Government has finally commenced the review into public EV charging costs. All are aware of the disparity between home and public charging prices and with more buying EVs who have no access to home charging the penalties can make the financial case for sticking with ICE. The review is looking at why the costs are what they are, how they might move between now and 2030 and what can be done to reduce them. The report into all this is expected in the autumn of this year. Click this EV Powered article link here to read more.AION LATEST CHINESE BRAND TO OPEN SHOWROOMS IN THE UKAion has opened a number of UK showrooms, in a first for the Chinese GAC Group. This brand is positioned as ‘upper-mainstream' by GAC and will be selling the Aion V, an electric SUV, initially. This will be followed by the Aion UT hatchback, later in the year. To see where they are now based, click this EV Powered article link here.NEW DATA PRIVACY SERVICE LAUNCHEDEngenius has launched their Engineius DataClear service, with the help of Privacy4Cars. This will delete in-car personal data from the vehicle, with a report to providing a paper trail to confirm it has taken place. Not only does this help customers but also complies with GDPR requirements. For more on this, click this MotorTrader article link here.If you like what we do, on this show, and think it is worth a £1.00, please consider supporting us via Patreon. Here is the link to that CLICK HERE TO SUPPORT THE PODCASTNEW NEW CAR NEWS -Audi Q7Audi has revealed the third generation of their large SUV, the Q7. This will come with either five, six or seven seats and has a fresh new look both outside and in. There will be only one engine available, a new 3.0 litre V6 diesel, but in two flavours. Full details on the performance and power capabilities is yet to be confirmed. The interior is brought in line with other recently released models. Prices and full specifications are expected in the next month. Click this Autocar article link for more.Boreham Ford Escort RSBoreham Motorworks has revealed what they are calling a ‘continumod' in the form of a Ford Escort RS. Costing from £345,000 (in the UK) this is a completely new car that takes inspiration from the Mk1 Escort. Their Ten-K engine is a 2.2 litre petrol, which produces 326bhp and 155lb ft of the torques. There will also be the option to have a re-engineered Twin Cam that the original used in period. Only 150 will be built. Click this Autocar article link for more.BYD Dolphin G DM-iBYD has revealed the first plug-in hybrid supermini, with their Dophin G DM-i. With a maximum range of 649 miles and an electric only range of an impressive 65 miles, this car puts to shame many which cost more and are bigger. It will come with a 1.5 litre petrol engine and a 120kW electric motor. Prices are yet to be revealed and deliveries expected to start in the autumn. Click this EV Powered article link for more.LUNCHTIME READ: BUSSO V6We are recommending a Hagerty article for your reading pleasure this week. Nathan Chadwick writes all about the fabulous Alfa Romeo Busso V6. You'll find out about the history of this evocative engine. Click this link to read all about it.LIST OF THE WEEK: 2001 STARS NOW ELIGIBLE FOR THE FOTUAntony Ingram highlights just some of the 2001 cars that are now eligible to be entered into the Festival of the Unexceptional. Do you agree with Alan's choice? Click the link here to check out your options.AND FINALLY: SWEDISH HITMAN KILLED IN LIMERICK ROAD INCIDENTA Swedish contract killer was killed in a road collision after his driver accomplice was attempting to turn the car around after going the wrong way. This sounds like the plot from a low budget thriller, but is what happened last week. Click this Irish Times article link to read more.

In this episode of Alexa's Input (AI), I sit down with David Aronchick, co-founder and CEO of Expanso and former product lead for Kubernetes at Google.Data is growing everywhere outside your data center. Solar panels in remote across a country. Security cameras at retail stores. IoT sensors across factory floors. And moving that data to the cloud for processing? It's expensive, slow, and often restricted by compliance.David is an expert when it comes to solving distribution problems. He led Kubernetes product at Google, co-founded Kubeflow to bring ML to production, and now he's building Expanso to tackle a difficult constraint: when your data can't move, how do you process it where it lives?We discuss:- The need for distributed data orchestration-Upstream data control: filtering and transforming at the source- Three forces making edge computing inevitable (physics, regulations, economics)- How to build successful open source infrastructure projects- Customer discovery and finding real pain points- His transition from Protocol Labs to founding Expanso- ETL pipelines: moving the first four steps closer to the data- Context loss and lineage in distributed systems- Processing 400,000 signals per second with 150MB agents- AI observability: attaching source metadata to training data- Running ML pipelines at the edge- Real-world deployment challenges (bandwidth, regulations, cost)Expanso is rethinking how we process data in an AI-native world—moving compute to data instead of data to compute. If you want to understand where distributed systems and edge computing are heading, this is a deep dive into the infrastructure layer beneath modern AI applications.General Podcast LinksWatch: https://www.youtube.com/@alexa_griffith Read: https://alexasinput.substack.com/ Listen: https://creators.spotify.com/pod/profile/alexagriffith/ More: https://linktr.ee/alexagriffithLearn more about the host atWebsite: https://alexagriffith.com/ LinkedIn: https://www.linkedin.com/in/alexa-griffith/Find out more about the guest atLinkedIn: https://www.linkedin.com/in/aronchick/ Twitter/X: https://x.com/aronchick GitHub: https://github.com/aronchick Expanso Website: https://expanso.io/ResourcesExpanso Website: https://expanso.io/ Kubernetes: https://kubernetes.io/ Kubeflow: https://www.kubeflow.org/ CNCF (Cloud Native Computing Foundation): https://www.cncf.io/ Protocol Labs: https://protocol.ai/KeywordsDavid Aronchick, Expanso, Kubernetes, Kubeflow, distributed systems, edge computing, data pipelines, ETL, upstream data control, Google Kubernetes Engine, open source, CNCF, observability, log processing, data lineage, provenance, schema enforcement, IoT, edge AI, distributed data, machine learning infrastructure, Protocol Labs, IPFS, Filecoin, data governance, compliance, GDPR, bandwidth optimization, data aggregation, AI infrastructure, multi-cloud, hybrid cloud, real-time processing

RJ Talyor is the Founder and CEO of Backstroke a AI for eCommerce generative content platform for email marketers. Instantly create on-brand, high-performing email subject lines, preview text, mobile push notifications, and SMS messages.Summary of PodcastPodcast introduction and guest backgroundGraham and Kevin introduce the Next 100 Days Podcast and welcome RJ Talyor from Indianapolis. RJ describes Indianapolis as offering the best of a big city with a small-city feel, with about a million people, great sports, culture, food, and good cost of living. He has traveled extensively but always enjoys returning home.Backstroke's AI email generation platformRJ introduces Backstroke.com, which generates performant email campaigns for e-commerce retailers selling clothes, pet food, furniture, and other products online and in-store. E-commerce brands typically expect 20-50% of revenue from email marketing while sending 3-5+ emails weekly, with customers spending 8-12 hours per campaign. Backstroke reduces this to approximately 15 minutes while personalising content so each customer receives a different message tailored to their interests and behaviour.Personalisation through data and engagement Backstroke personalises emails using multiple data layers: subscriber status, past engagement (opens, clicks, conversions), and appended third-party data revealing demographics like age, location, and gender. When additional data is unavailable, the platform uses progressive profiling—analysing engagement patterns to infer preferences. For example, if a customer consistently clicks on men's content over women's content, or prefers dark-coloured shirts over light ones, AI identifies these patterns to drive personalisation, which is more effective than manual analysis.Real-world personalisation: from negative to advocateGraham shares a personal story about Son of a Tailor, a Portuguese apparel brand, where his initial experience was poor—they sent him a shirt too short for his frame. However, the company responded exceptionally well, ultimately creating a monogrammed, high-quality shirt that transformed him into an advocate. RJ explains this is valuable data: AI can flag customers who experienced negative-to-positive journeys as potential super-fans or loyalty advocates, a pattern most marketers miss because they lack time to identify such nuanced customer experiences.AI pattern recognition beyond traditional metricsTraditional RFM (Recency, Frequency, Monetary) models reduce customers to transactional data, but AI can extract signal from unstructured data to identify complex patterns. For instance, AI can recognize when a customer buys different sizes (suggesting purchases for others) or when multiple preferences exist within one account—like RJ's Spotify feed where his children's music preferences mix with his own. AI discerns these overlapping patterns that aren't immediately obvious to humans, enabling more sophisticated segmentation.Team expertise and company historyRJ co-founded Backstroke with his wife Allison, who holds a PhD in deep data analysis and chemical reagents, bringing statistical rigour and predictive modelling expertise. RJ's background includes starting Pattern89 in 2016, an AI company predicting Instagram and Facebook clicks using computer vision and natural language processing, which he sold to Shutterstock. Many Pattern89 team members joined Backstroke, bringing 10 years of AI-based marketing experience, while the team continuously innovates with new foundational models from Anthropic and OpenAI.Implementation results and Surge featureBackstroke achieves an average 30% uplift in conversion rates for new clients. Implementation typically takes about a month for full transformation, but recognising customer demand for faster results, the company launched "Surge," enabling campaigns to launch in 48 hours. This rapid-deployment feature demonstrates predictive capabilities quickly, satisfying customers who want immediate proof before committing to full onboarding.Email variants and human approval at scaleWhile technically capable of generating 10,000+ unique email variants, Backstroke has found that customers require human review of every variant version. Current implementations range from 60-100 variants, with combinations of hero images, subject lines, and templates creating exponential possibilities. The company is building QA agents to enable scaling to millions of variants while maintaining human oversight, recognizing that creative teams ultimately bear responsibility for brand representation.Brand guidelines versus performance metricsA fundamental tension exists between brand teams (who enforce guidelines like "models must face forward" or "only use this colour") and performance marketers (who know "shirts perform better laid on a bed than on a human"). RJ explains this is often gut-feel decision-making based on outdated tests—teams cite tests from a year ago by employees who've since left, creating stale guidelines. AI enables rapid testing of creative variations to identify incremental opportunities, but requires organisational willingness to experiment beyond established brand rules.Customer selection philosophyRather than trying to convince resistant customers to embrace AI, RJ focuses on the "one in 10" truly innovative marketers willing to change. He learned from his previous business that most prospects claim interest but quickly reveal organizational barriers requiring approvals. His strategy is to identify customers genuinely committed to transformation and willing to pay, directing others to resources instead. This approach conserves energy for high-potential partnerships where AI can deliver real impact.Backstroke's core value propositionBackstroke solves the "what" problem: what content, subject line, preview, template, hero image, product display, and offer to send to each person. The platform knows that 46% of clicks occur in the first 400 pixels, so it optimizes that space differently for men versus women, loyal customers versus new ones, and geographic regions. This focused specialization on content optimization is Backstroke's primary value, distinct from solving "when" (send time) or "who" (segmentation) problems.Practical tips for email marketersFor marketers using standard LLMs without specialised platforms, RJ recommends uploading all previous email data and creative assets, then asking the machine to identify winning creative dimensions. This approach reveals patterns in subject lines, imagery, copy length, and offers without requiring subscriber-level analysis, enabling better-than-average results for those without access to specialised tools.Email frequency paradox and engagementKevin raises frustration with receiving excessive emails from companies he likes, asking if AI can enable sending less email while achieving better results. RJ explains that higher engagement with personalised content could theoretically reduce frequency, but email is fundamentally a frequency game—brands send multiple emails weekly to stay top-of-inbox when customers are ready to buy. However, deliverability depends on engagement (opens, clicks), so sending irrelevant content backfires. Backstroke solves the "what" problem, but send-time optimisation and segmentation (the "when" and "who") remain separate challenges.Market focus and customer examples Backstroke focuses exclusively on B2C e-commerce in North America due to language complexity and GDPR privacy requirements in Europe. The platform serves impulse-purchase categories (apparel, furniture, bedding) differently than considered purchases (mattresses, cars), with separate trained models for each. Notable customers include Third Love (women's intimates), Cozy Earth (bedding), Helix (mattresses), and Emile Henry (cookware), representing the apparel and home goods verticals where Backstroke has developed deep expertise.Future roadmap: predictive marketing agentsRJ's 18-month roadmap focuses on building predictive marketing agents that complete marketing tasks generatively while humans serve as brand stewards and strategists. This vision extends beyond email to SMS, apps, and landing pages, with personalisation as a core feature. Graham notes the challenge of making such systems intuitive enough for non-technical users, reflecting the broader industry shift toward AI-augmented rather than AI-replaced marketing roles.European expansion and compliance strategyWhile Backstroke is currently North America-focused, RJ is open to European partnerships but wants to be proactive about compliance. GDPR itself isn't a blocker, but European customers require security documentation and certifications that Backstroke hasn't yet obtained. The company recently achieved SOC 2 compliance (required by enterprise businesses) and plans to secure necessary privacy certifications before entering European markets, avoiding disqualification during sales cycles.Podcast analysis and key takeawaysIn the wrap-up, RJ praises the podcast for getting past fluff into real marketing challenges, appreciating the nitty-gritty discussion of how marketers actually work. Graham and Kevin reflect that the conversation revealed AI's potential to solve the "what" problem while highlighting remaining challenges in "when" and "who" decisions. They note that Kevin's observation about sending less email...

At Infosecurity Europe 2026 in London, Matt Ellison, Director of Sales Engineering EMEA & APAC at Corelight, joins Sean Martin to unpack the visibility gap widening across security operations. The SOC is either drowning in data or missing the data that matters most. Corelight, custodian of the open-source Zeek project, builds a platform that turns raw network traffic into evidence teams can actually use. Why do today's most evasive attacks slip past endpoint detection? Because they are designed to. Ellison points to typhoon-style campaigns staged from network and hardware devices specifically to avoid EDR. When a platform sees all of the network traffic moving backwards and forwards, those moves stop being invisible. Seeing more is only half the battle. Ellison describes teams trapped by a fear of missing something, switching on every "just in case" detection until alert volume becomes its own crisis. The real question shifts from "what fired" to "what does this actually mean for my environment." How do you investigate a detection you cannot see inside? A black box hands down a verdict with no evidence behind it. Corelight takes an open approach, exposing the data behind every conclusion so analysts can follow a flow to its root cause and apply the one thing no vendor ships: their own knowledge of the network. The proof tends to show up fast. Ellison recalls a proof of value where, within thirty minutes, the team surfaced sensitive information moving unencrypted across the network. Other finds are smaller but telling, like a finance team's certificate using a weak cipher. Corelight even names its catch-all logs plainly, the "weird" log and the "unknown" log. Visibility feeds compliance too. Frameworks like NIS2, DORA, and GDPR demand evidence, not a tool humming in the corner that no one reviews. Ellison previews a coming release that adds asset classification, identifying every device on the network and explaining the why behind it. This is a Brand Spotlight. A Brand Spotlight is a ~15 minute conversation designed to explore the guest, their company, and what makes their approach unique. Learn more: https://www.studioc60.com/creation#spotlight GUESTMatt Ellison, Director of Sales Engineering EMEA & APAC, Corelight LinkedIn: https://www.linkedin.com/in/matthewrellison/ RESOURCES Learn more about Corelight, including customer stories: https://corelight.com Zeek, the open-source NDR project Corelight maintains: https://zeek.org Infosecurity Europe 2026 coverage from ITSPmagazine: https://www.itspmagazine.com/infosecurity-europe-2026-infosec-london-cybersecurity-event-coverage Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight ▶︎ Get your own Brand Briefing at an upcoming event: https://www.studioc60.com/buy-brand-briefings KEYWORDS Matt Ellison, Corelight, Sean Martin, brand story, brand marketing, marketing podcast, brand spotlight, network detection and response, NDR, Zeek, open source security, network visibility, threat hunting, SOC alert fatigue, EDR evasion, encrypted traffic analysis, NIS2, DORA, GDPR, Infosecurity Europe 2026 Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us Fan MailWelcome to the Serious Privacy podcast, where Ralph O'Brien and Dr. K Royal, while Paul Breitbarth is out, meet with Ryan Boos of TrustArc. What's on the mic? Simplification of privacy programs. Ryan comes to this with the experience to back up his knowledge - he has fought in the data trenches and flown through the danger zone! Okay... he has major chops. If you have comments or questions, find us on LinkedIn and Instagram @seriousprivacy, and on BlueSky under @seriousprivacy.eu, @europaulb.seriousprivacy.eu, @heartofprivacy.bsky.app and @igrobrien.seriousprivacy.eu, and email podcast@seriousprivacy.eu. Rate and Review us! From Season 6, our episodes are edited by Fey O'Brien. Our intro and exit music is Channel Intro 24 by Sascha Ende, licensed under CC BY 4.0. with the voiceover by Tim Foley.

也许很多人对企业出海的理解还在最难的是产品、市场和语言的阶段，但真正进入一个成熟市场之后才会发现，最复杂的往往是那些“看不见”的东西：法律体系、公司治理、税务结构、数据合规、消费者习惯，甚至是人与人之间的信任逻辑。本期「贝望录」，Bessie 邀请两位长期旅居英国、深度服务中资企业出海的专业人士 Tom 与 Tim，一起聊聊中国企业过去二十多年出海英国与欧洲市场的变化。从加入 WTO后的“世界工厂”时代，到2010年代轰轰烈烈的海外并购潮，再到今天以新能源、电商、AI 与全球化品牌为代表的新一轮出海，中国企业究竟经历了怎样的转变？节目里，两位嘉宾分享了大量真实案例：为什么很多企业把中国合同直接翻译成英文后，在英国根本无法使用；为什么英国资本市场最在意的并不是“业绩”；为什么中国互联网产品在英国常常“水土不服”；以及 GDPR、反洗钱、背景调查这些规则，究竟会如何影响一家企业在海外的发展。比起“如何赚到海外的钱”，这一期我们讨论的是当中国企业真正走向全球化时，需要改变的到底是什么。【本节目由Withinlink碚曦投资协作体出品】【嘉宾】Tom 坐标伦敦 播客「大不列颠颠一颠」主播英国金融与商务咨询行业资深顾问联系Tom：crazygb2024@gmail.comTim坐标伦敦 英国特许会计师协会资深会员，从事审计和财务顾问服务超25年，专注于服务中资企业出海联系Tim： timweiyu@hotmail.com【主持】李倩玲 Bessie Lee广告营销行业资深从业者，商业观察者【本期内容提要】[00:30]为什么很多中国企业出海英国后才发现“直接翻译中文合同”根本行不通？[04:38]那些在英国市场“本可以成功”的中资企业案例[05:34]中国企业为什么很难真正融入英国资本市场？[08:13]国际化不是口号，而是治理结构与权力逻辑的彻底改变[12:43]英国董事会治理为什么会让很多中国企业“不适应”？[14:58]中国企业出海的三波浪潮：制造业出海、出海买买买与全球化品牌[18:55]新冠之后，中资企业出海逻辑发生了什么变化？[22:38]中国企业为何开始通过并购进入海外市场？[26:05]英国如今最欢迎哪些中国投资？新能源、教育与金融[27:01]第三波出海企业，为什么更像“长期经营”而不是资本运作？[31:00]英国基础设施里的机会：中国企业还能做什么？[32:06]中国电商APP为什么在英国“不好用”？[37:40]英国消费者为何格外在意环保、隐私与“不过度消费”？[41:40]企业出海英国，法规、法务与财务有哪些最容易踩的坑？[42:27]在英国注册公司和设立分支机构，有什么区别？[44:50]OECD Pillar Two（支柱二）会如何改变跨国企业税务结构？[49:18]GDPR数据安全法到底严格在哪里？为什么英国企业如此重视数据隐私？[53:44]为什么英国至今都难以推广“人脸支付”？[56:40]中国合同为什么不能直接翻译后在英国使用？[58:22]英国商业合同里，哪些条款必须重新设计？[01:00:45]AI能代替律师和专业顾问吗？[01:01:57]英国企业为什么如此重视背景调查与反洗钱？[01:05:42]为什么很多中国企业不习惯英国的“收入来源审查”？[01:09:12]企业出海英国，财务层面最容易忽略的风险有哪些？[01:12:00]英国税务体系复杂在哪里？企业为什么不能只盯着“税率高低”[01:14:57]英国外汇管理规则，资金流转规范与审查[01:17:22]英国整体营商环境比较乐观，要了解政治舆论与商业市场的相互独立情况 [01:25:48]企业出海最容易低估的，其实是文化差异和长期合规成本[01:33:00]两位嘉宾给准备出海企业的建议：做足准备、长期主义【后期制作】Jean【收听方式】推荐您使用Apple Podcast、小宇宙APP、喜马拉雅FM、荔枝播客、网易云音乐、QQ音乐、Spotify或任意泛用型播客客户端订阅收听《贝望录》。【互动方式】微博：@贝望录微信公众号：贝望录+商务合作：beiwanglu@withinlink.com

This episode covers the rising costs and restrictions surrounding AI agents, including token consumption, model access policies, and the growing dependence on AI tools for security work. The hosts discuss Troy Hunt's retrospective on Have I Been Pwned reaching its 1,000th tracked breach, examining why breach disclosures appear to be slowing and how GDPR and CCPA requirements affect notification practices. Additional topics include password and email hygiene, the value of breach-notification services, AI infrastructure and data center costs, and new research mapping AI-enabled cyber threats to the MITRE ATT&CK framework.Join us LIVE on Mondays, 4:30pm EST.A weekly Podcast with BHIS and Friends. We discuss notable Infosec, and infosec-adjacent news stories gathered by our community news team.https://www.youtube.com/@BlackHillsInformationSecurityChat with us on Discord! - https://discord.gg/bhis

Have we become so used to data breaches that we no longer stop to think about what they actually mean for the people affected? In this episode of Tech Talks Daily, I speak with Simon Pamplin, CTO at Certes, about why cybercrime remains one of the biggest threats facing businesses and consumers alike. While headlines about ransomware attacks and data breaches appear almost every day, Simon argues that too many organizations are still treating cybersecurity as a technology problem rather than a business risk with real human consequences. Our conversation begins with a simple but powerful question. Why are so many companies still focused on protecting networks when attackers are really after the data itself? Simon explains why traditional perimeter-based security approaches are struggling in a world where information moves between cloud environments, devices, applications, and partners far beyond the boundaries organizations once controlled. We also discuss the personal cost of cybercrime. Behind every breach announcement are real people whose financial records, personal details, healthcare information, and digital identities may have been exposed. Simon shares why the impact often extends far beyond resetting a password, creating financial, emotional, and reputational consequences that can last for years. Another major theme is the growing concern about quantum computing and the rise of harvest-and-decrypt attacks. While fully realized quantum computing may still be in the future, cybercriminals are already collecting encrypted data with the expectation that future technology will eventually unlock it. Simon explains why businesses need to think about protecting sensitive information today rather than waiting for tomorrow's threats to become reality. The conversation also examines the growing pressure from regulations such as GDPR, DORA, and NIS2. With larger penalties and increased regulatory scrutiny, organizations are facing greater accountability for how they handle and protect customer information. Simon argues that trust has become one of the most valuable assets a business can possess and one of the easiest to lose. Of course, no cybersecurity discussion would be complete without addressing AI. We explore how AI is making attacks faster, cheaper, and more accessible while also creating opportunities for defenders. Simon shares his thoughts on why businesses must rethink long-held assumptions and prepare for a future in which cybercriminals can automate many techniques that once required significant expertise. Throughout our discussion, Simon returns to a consistent message. Attackers target data because it has value. Organizations that focus their efforts on protecting that data, wherever it travels, will be in a far stronger position than those relying solely on traditional defenses. If you are responsible for cybersecurity, risk management, compliance, or digital transformation, this episode offers a timely discussion of what businesses should prioritize as threats continue to evolve. Customer trust becomes harder to earn and easier to lose. When the next breach makes headlines, will it simply be another news story, or will it be a reminder that every piece of stolen data belongs to a real person whose life could be affected?

The Pure Report welcomes Mark Wilkinson, a Consulting Field Solutions Architect at Everpure and a former Database Administrator (DBA) and manager. Mark shares his unique perspective on the changes reshaping the Database Administrator role from the perspective of a DBA practitioner. Drawing on his experience as a 10-year Everpure customer who was freed from storage concerns, Mark highlights that the DBA function has not been eliminated but rather has been elevated and broadened in scope. Mark explains how the role continues to shift from routine, fire-fighting tasks to high-value, strategic contributions. The modern DBA role is expanding beyond traditional relational databases and SQL Server dominance, now intersecting with big data, AI, and unstructured data. We discuss how adopting technologies like cloud for data mobility, containers (which force teams to prioritize resilience), and automation (leading to self-service workflows) creates more time for the DBA team to grow their expertise. Automation, often driven initially by laziness, is seen as the key force multiplier, enabling DBAs to stop asking "Am I adding any value right now?" and start using their knowledge to benefit the business. Crucially, the entire evolution points to the necessity of building stronger relationships throughout the organization—with developers, finance, and leadership. This shift allows DBAs to move from a stereotypical gatekeeper role to a business partner, gaining a seat at the table and increasing their visibility and impact. While new challenges like AI accuracy (especially for new DBAs) and compliance (GDPR) exist, the expansion of the role makes it a cool time to be a DBA, with many options to specialize, build skills (e.g., via open source), and drive corporate success. To learn more, visit: https://www.everpuredata.com/solutions/databases.html Check out the new Everpure digital customer community to join the conversation with peers and Everpure experts: https://purecommunity.purestorage.com/ 00:00 Intro and Welcome 05:05 Career Journey 09:55 Everpure Benefit for App Environments 15:01 Stat of the Episode 20:05 Slow Storage Impact on DBAs 25:05 Key Changes to DBA role 30:15 Containers and DBAs 35:15 Automation and Workflows 41:10 Observability and Telemetry 43:43: AI and DBAs 55:08 Hot Takes

A data privacy legal framework that applies to all countries in the European Union, regulating the transmission, storage, and use of personal data associated with residents of the EU.  CyberWire Glossary link: ⁠https://thecyberwire.com/glossary/general-data-protection-regulation⁠ Audio reference link: “Mr. Robot Predicts JPM Coin!” YouTube, YouTube, 14 Feb. 2019, ⁠https://www.youtube.com/watch?v=1ee-cHbCI0s. 

Is the internet too far gone or can we still fix it? Neil deGrasse Tyson, and co-hosts Negin Farsad and Gary O'Reilly, sit down with Jaron Lanier, Microsoft scientist, and father of virtual reality, to diagnose what went wrong with the web, how it's changed with AI, and ideas for a new path back. NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here:  https://startalkmedia.com/show/fixing-the-internet-with-jaron-lanier/ Thanks to our Patrons Pam Komm, Domin Vernetti, Hank Thundercloud, Home, Rsnd341, Michelle Box, PSR, Pierre Henry, Diana Vastardis, Ronald Vink, Tylor, Martin Lutonský, Timothy McIntosh, Omar Austin, Terry Tarpley, Albert Lyons, Jefferson Buttram, James Boddie, Camerun Pippin, Pitcher Rendon, Jonathan Farmer, Jeremy, Geir Sanne, Bee Dot, Christian Garcia, Bartizan, Sooraj Meyanamannil, Gert Coppens, Justin Brock, Daniel Stowens, Austin, Maurice Brown, Nathaniel A. Lordes Jr., MonzyL, Professor Deadly Robot, Lola ₍^. .^₎Ⳋ, Tim Moorehead, Nancy Cliff, Peter McAuley, Nathan Sprow, Ryan Hadley, TechCadet, Mike Ernst, James, Elliott Stevenson II, Caleb Williams, Rat Poison Vendor, Sebastian Weber, Smoke Dogg 414, The Anomaly of Two Systems, Patrick Kilduff, Stuffy979, Dan Yaroch, Agasthya Suresh, Brian Entman, Steve Vance, Simon Osadchii, Judas, Michelle Don Carlos, John Janney APR, ALottOfIdeas, BJ Verheyen, Tuomas Liimatta, Kuchi Kopi, Robin Maher, Evan Esau, Elhoufi Mbarek, Ezra Amador, Fallen Angel, Lyd, John D., Dread Maps, David Roth, Bogdan Rus, The_pink_boots, Randy Wallace, J K, Jim Lee, Melvin Chapple, Ryan Vaughn, Kelley Bie, Jai, Robert Ayan, Mikael Emsing, C George, Mark Nichols, Shantanusinh Parmar, Kyla, Carlos Sosa Denis, Honk, Terrance Jones, Brandt S, Steve Litz, Nathaniel Fodor, David Bunting, Christopher Velasquez, Flubbels, Nicholas Scott, Elhoufi Mbarek, and Patrick Snyder for supporting us this week. Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.