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What if your website already supports post-quantum cryptography, but nobody inside your organization knows how, why, or which provider controls it? I speak with David Warburton, Director of F5 Labs Threat Research, about new F5 research examining post-quantum cryptography across the world's top one million websites. According to the research discussed in our conversation, 54% now support PQC. It is an encouraging sign that preparations for future quantum threats are entering mainstream infrastructure. That figure is also easy to misread. David explains that much of the adoption comes from cloud and CDN providers enabling hybrid post-quantum protection for their customers. A smaller business could therefore appear better prepared than a large enterprise simply because its provider activated the technology automatically. However, that customer may have little understanding of the chosen cipher, the protection applied elsewhere, or the dependencies created around a small number of technology companies. David says the adoption rate looks very different when major CDN providers are removed from the data. This raises an important question about whether businesses are developing their own post-quantum security capabilities or temporarily benefiting from decisions made on their behalf. We discuss why current deployments combine established cryptography with newer post-quantum algorithms. This hybrid approach protects compatibility while browsers, APIs, operational technology, IoT devices, and older enterprise systems catch up. It also carries performance costs through larger cryptographic material and increased network traffic. David argues that crypto agility matters because organizations need the ability to change algorithms, certificates, and encryption methods as threats develop. The conversation also moves beyond encrypted traffic. Harvest now, decrypt later attacks involve collecting sensitive information today so it can potentially be decrypted when capable quantum computers arrive. David believes authentication and digital identity could create an even greater concern. A quantum computer able to produce valid certificates could potentially impersonate trusted websites, signed software, devices, or firmware. Legacy infrastructure remains one of the largest barriers. F5 Labs found that roughly one in ten leading websites lacked TLS 1.3 support, preventing them from supporting current hybrid PQC connections. David also explains why Germany and France may trail countries including the US, UK, Australia, Ukraine, and Singapore, despite strong national policies. Factors include digital sovereignty concerns and the concentration of older manufacturing and operational systems. For leaders beginning this work, David recommends speaking with suppliers, establishing internal ownership, reviewing business continuity plans, and creating a cryptographic bill of materials covering certificates, algorithms, libraries, applications, and devices. I'd love to hear your thoughts, so does your organization know where its cryptography lives and who controls its post-quantum readiness?
Everyone is racing to add AI to healthcare. But what if the bigger problem isn't adopting AI… it's the fragmented systems underneath it? In this episode of Med Tech Gurus, we sit down with Nader Fathi, serial entrepreneur and CEO of Enlil, to explore why the future of MedTech innovation may depend less on adding more intelligence—and more on creating integrated foundations that allow innovation to scale. With decades of experience spanning AI, big data, IoT, and regulated product development, Nader makes a compelling case that many MedTech companies are solving the wrong problem. While others rush toward AI tools, he argues the real risk is fragmentation across compliance, engineering, quality systems, and manufacturing—creating hidden vulnerabilities that slow innovation and threaten scale. We explore why integrated compliance is becoming a strategic advantage, how private AI models and agentic AI may reshape product development, and why "customers, customers, customers" remains timeless advice for founders building scalable companies. From FDA readiness and change control to product-market fit and investor storytelling, this episode is a masterclass in moving from product innovation to enterprise execution. If you're interested in AI in healthcare, MedTech quality systems, regulatory strategy, SaaS for medical devices, or startup scale-up strategy, this episode delivers a powerful blueprint for building innovation that lasts.
Dr. Gleb Tsipursky serves as the CEO of the future-of-work consultancy Disaster Avoidance Experts where he is an author who was dubbed the "Office Whisperer" by The New York Times and he helps tech-forward leaders stop overpaying for AI while boosting adoption and decreasing resistance. Mike Petrusky asks Dr. Gleb about his brand-new book, "The Psychology of AI Adoption at Work: From Resistance to Results", in which he explores how AI will fundamentally transform the workplace, applying his findings to facility managers and workplace strategists. He believes that FM leaders will need to evolve with increased integration of AI, IoT, and robotics, demanding new skills and adaptability as their role becomes that of "a managers of agents" overseeing both digital and physical assets. AI adoption faces unique psychological barriers beyond traditional change management challenges, specifically fear, identity threat, and shame. So, workplace professionals must start by addressing these emotions through supportive leadership, transparency, and the normalization of AI use. Leaders should focus on upskilling and preparing their teams for this transition, so Mike and Dr. Gleb offer the encouragement and inspiration you need to be a Workplace Innovator in your organization! Connect with Dr. Gleb on LinkedIn: https://www.linkedin.com/in/dr-gleb-tsipursky/ Buy the book: https://disasteravoidanceexperts.com/aibook/ Learn more about Disaster Avoidance Experts: https://disasteravoidanceexperts.com/ Watch the podcast on YouTube: https://www.youtube.com/playlist?list=PLSkmmkVFvM4H3pwnlU2AuqynuRDpvnh4J Discover free resources and explore past interviews at: https://eptura.com/discover-more/podcasts/workplace-innovator/ Learn more about Eptura™: https://eptura.com/ Connect with Mike on LinkedIn: https://www.linkedin.com/in/mikepetrusky/
Selam Fularsızlar, geçtiğimiz günlerde, Vodafone Türkiye'nin başında bulunan Engin Aksoy'la bir sohbet yaptık (sponsorlu bölüm) fakat fazla kurumsal kaçmaması için teknolojiye odaklandık. Aklımdaki sorular şunlardı: Neden 4G ile 5G arasında büyük bir fark deneyimlemiyorum Türkiye bu konuda geride mi kaldı Afetler için atıl kapasitemiz diğer ülkelere kıyasla ne kadar Uydu iletişiminin geldiği nokta nedir Kalabalık yerlerde önceliklendirme satın alınabilir mi Daha fazlası aşağıdaki konular listesinde. Umarım faydalı olur Konular 00:00 CEO ile ne konuşulur 02:26 Şebeke 101 04:01 Gizli kaynak: Spektrum 05:42 Rekabet 07:18 G noktaları 09:56 IOT 10:53 Afet kırılganlığı 13:39 Atıl kapasite 15:46 Starlink 18:12 Dikey entegrasyon 20:07 Kullanıcı beklentileri 21:47 Öncelik satın almak 23:20 6G 24:48 Yapay zeka 26:44 Sihirli değnekle ne düzeltilir Bu bölüm, Türkiye'nin dijitalleşmesine liderlik etme vizyonuyla faaliyet gösteren Vodafone tarafından sponsor edilmiştir.
Tony chats with Jesse Benedick, CEO & Co-Founder at Chainmail Solutions, an insurtech MGA helping protect the gaps especially around hurricane deductibles using an IoT grid that helps verify the exact conditions at the property.Jesse Benedick: https://www.linkedin.com/in/jesse-benedick-b436833/Chainmail Solutions: https://www.chainmailsolutions.ai/
In this episode of the RF Career Series podcast, Jenn DiMarco sits down with Dermot O'Shea, Co-Founder and CEO of Taoglas, to explore the experiences, opportunities and lessons that have shaped his career in the RF and wireless industry. From co-founding Taoglas and growing the company into a global provider of advanced antennas, RF components and IoT solutions to navigating the challenges of building a business in a rapidly evolving industry, Dermot shares insights from his professional journey. He also offers advice to students, young engineers and professionals looking to grow their skills, pursue new opportunities and build a career in RF and wireless.
Max Rünzel, CEO and co-founder of HiveTracks, discussing the integration of bees and beekeeping practices in solar farm operations. Max explained how HiveTracks uses beehives as monitoring tools to assess pollinator health and ecosystem resilience on solar farms, with hives capable of foraging up to 10,000 acres and traveling 2-4 miles from their location. The company places two hives as a starting point and collects data through regular visits, pollen analysis, and IoT devices to determine foraging patterns, habitat quality, and potential ecotoxicology issues from PFAS (Per- and Polyfluoroalkyl Substances), microplastics, and pesticides. Max described how they work with local experienced beekeepers rather than providing bees directly, and how they use bee intelligence to identify dearth periods and recommend specific plantings to create year-round foraging resources. The discussion covered practical aspects including hive placement considerations, safety protocols, and the potential for solar-powered monitoring equipment, with Max noting they currently have 12 solar sites and are beginning to produce honey for sale. Topics Covered Hive Mind Concept (Star Trek reference) Solar Farm Beehives Agrivoltaics Ecosystem Health Hive Health Monitoring Pollinator Habitat Design Pollen Foraging Analysis Bee Foraging Range Manuka Honey Beehive Placement Strategy Queen Bees (Sean is a big Freddie Mercury fan) Bee Breeding & Docility Beekeeper Training Waggle Dance Communication Ecotoxicology Testing Microplastics Contamination Solar Honey Harvest IoT Hive Sensors PV = Photovoltaic PFAS = Per- and Polyfluoroalkyl Substances NABCEP = North American Board of Certified Energy Practitioners Reach out to Max Rünzel here: LinkedIn: www.linkedin.com/in/maxrunzel/ Website: www.hivetracks.com/ Email: max@hivetracks.com Learn more at www.solarSEAN.com and be sure to get NABCEP certified by taking Sean's classes at www.heatspring.com/sean www.solarsean.com/esip
Guy Tessler | Cyber 2.0 Cyber 2.0, founded in 2015, blocks the spread of cyber-attacks in IT, OT, and IoT environments that all other defense systems installed in an organization have failed to stop. Cyber 2.0 is based on a mathematical chaos model that is highly resistant to breach or bypass. KJ Sedjro | […]
Welcome to The Daily Wrap Up, an in-depth investigatory show dedicated to bringing you the most relevant independent news, as we see it, from the last 24 hours (8/27/26). As always, take the information discussed in the video below and research it for yourself, and come to your own conclusions. Anyone telling you what the truth is, or claiming they have the answer, is likely leading you astray, for one reason or another. Stay Vigilant. !function(r,u,m,b,l,e){r._Rumble=b,r[b]||(r[b]=function(){(r[b]._=r[b]._||[]).push(arguments);if(r[b]._.length==1){l=u.createElement(m),e=u.getElementsByTagName(m)[0],l.async=1,l.src="https://rumble.com/embedJS/u2q643"+(arguments[1].video?'.'+arguments[1].video:'')+"/?url="+encodeURIComponent(location.href)+"&args="+encodeURIComponent(JSON.stringify([].slice.apply(arguments))),e.parentNode.insertBefore(l,e)}})}(window, document, "script", "Rumble"); Rumble("play", {"video":"v7ckebo","div":"rumble_v7ckebo"}); Source Links (In Chronological Order): Smoke and Mirrors - YouTube (17) The Last American Vagabond on X: "Derrick and I just recorded Episode 2 of the Open Source podcast for Unlimited Hangout. We focused on Whitney's 2021 article on the Israeli spyware company #Toka. Watch for it on UH channels. https://t.co/SRC8RbapKL" / X New Tab (21) Glenn Beck on X: "UPDATE: THE LAKE AMERICA TROLL JUST BECAME AN EXECUTIVE ORDER" / X Trump signs order to rename Lake Ontario 'Lake America' amid Canada trade war (17) Dr. Simon on X: "Four months later, the Epstein Files still have vanished from the conversation, as if one of the biggest scandals in American and Israeli politics never happened." / X New Tab Controlled Political Leak Pipeline Exposed, Trump's Mystery Beef & The Control Grid Materializes (21) Daniel McAdams on X: "Just like Tulsi told him not to attack Iran. Point is, Trump just doesn't care." / X USDA recalls 30,000 pounds of Argentine beef sold in Texas and Florida Further Ensuring Affordable Beef for the American Consumer – The White House EDC's Are Not Conspiracy Theory, Hotez Meltdown, Lab-Grown Meat, Your Dark AI-Modulated Future Israel's Redefine Meat serves up plant-based whole cuts of beef | Reuters Robert Kadlec Claims "Vaccine Research" Caused COVID, Tick Bioweapons & Vaccines To Stop Meat Eating New Tab (17) The Last American Vagabond on X: "For those who have not yet noticed, this is NOT Wikileaks. This is a malicious account trying to manipulate people." / X US11107588B2 - Methods and systems of prioritizing treatments, vaccination, testing and/or activities while protecting the privacy of individuals - Google Patents Compulsory moral bioenhancement should be covert - PubMed Google & Oracle to Monitor Americans Who Get Warp Speed's Covid-19 Vaccine for up to Two Years New Tab The Anarchism Solution, Trump's Gavi Lie, FBI Manufactures Another Plot & US Military Censorship (21) MintPress News on X: "Activists Exposed An IDF Soldier Who Was Posing In Kuffiyeh At Columbia University He was exposed as a Sergeant that participated in the Gaza genocide. According to reports he was telling people he was a Hamas fighter & showing October 7 footage, attempting to trick people and https://t.co/LMdT8vEKiv" / X (17) GenXGirl on X: "Don't worry Israel, he will be on a flight back to you shortly." / X The Violent Crime Story Missing From the Transgender Prison Lawsuit - NH Journal Senior Israeli official flees US following arrest over paedophilia | Middle East Eye New Tab (21) Optimus on X: "@DougAMacgregor @_whitneywebb Below the in the interview @_whitneywebb explains it all. How israeli firms control the water system, electrical grid, nuclear facilities and other infrastructure. But why would israeli companies have contract with US critical infrastructure? Sometimes AI does come in handy https://t.co/Mx9lYinZpH" / X She's EXPOSING the WEF false flag coming in 2024, Journalist Whitney Webb | Redacted - YouTube New Tab Trump Order Aims to Block Foreign Backdoors in US Power Grid Gear - SecurityWeek Fact Sheet: President Donald J. Trump Declares a National Emergency to Secure America's Bulk-Power System – The White House Declaring a National Emergency to Secure the United States Bulk-Power System – The White House6) (21) Grok / X Countries with biggest political cyberattacks launch share 2026 | Statista Trump Makes It Easier For Foreign Governments To Secretly Operate US Companies The Unit That Ate Cybersecurity: From Stuxnet to a $32 Billion Exit, How Israel's 8200 Became the Backbone of Global Cyber Defense — and a 'Critical' Threat | Breached.Company Trump Creates State-Backed Private Cyberattack Force Trump Deputizes Private Companies for Offensive Cyber Strikes Against Foreign Criminals Palantir Partners w/ Major News Orgs To Use Your Data As "Actionable Intelligence" Army embeds active-duty PSYOPS soldiers at local TV stations - Yahoo Sports Justice Department records confirm PROMIS scandal's ties to Israel • MuckRock Israel accused of planting mysterious spy devices near the White House - POLITICO Israeli NSO Spyware Found on Phones of U.S. State Department Officials - Israel News - Haaretz.com SignalGate Meets WordPress: Outgoing National Security Adviser's Phone Dumps Messages via Israeli App - UNICORN RIOT State Dept Revealed To Be Using Israeli Intelligence-Linked Chat App Involved In Trump Admin Hack Shady Companies With Ties to Israel Wiretap the U.S. for the NSA | WIRED Ice obtains access to Israeli-made spyware that can hack phones and encrypted apps | ICE (US Immigration and Customs Enforcement) | The Guardian (17) The Last American Vagabond on X: "Well this is Shlomi Lior, Algorithm & Systems Engineer for Flock, and he spent 7 years with Israeli Military Intelligence before ending up with Flock. https://t.co/JY2Es2eDLn https://t.co/4Bvyo4u1Eg" / X Israeli Firm Plans Expanding Its Deployment of Video-Altering Tech | Truthout New Tab Meet Toka, the Most Dangerous Israeli Spyware Firm You've Never Heard Of Meet Toka, the Most Dangerous Israeli Spyware Firm You've Never Heard Of a16z-backed Toka wants to help US agencies hack into security cameras and other IoT devices | TechCrunch Toka Deepens Engagement with U.S. and Allied Government Partners, Names Gregg Smith CEO | Toka JEHhjLPyZOvyEuX_.mp4 The Prince and The Spy - The Last American Vagabond Trump Makes It Easier For Foreign Governments To Secretly Operate US Companies (17) International Cyber Digest on X: "‼️ BREAKING: Blackwater founder Erik Prince launched a company selling air defense by subscription to protect data centers, military bases, shipping lanes and refineries. The founder has launched Vectus Air Defense Systems — jammers, cannons and interceptors sold as-a-service to https://t.co/yvOp6J8ZSN" / X The founder of the American private military company Blackwater, Eric Prince, has created a company that will offer air defense by subscription, writes Axios - Pravda USA Erik Prince and Swarmer Announce Formation of Vectus Air Defense Systems - Swarmer Israel Expands Cooperation with Ukrainian Drone Manufacturers for Defense Collaboration - Oj Nigeria is the second most targeted country in Africa for cyber attacks. Most business owners are still not taking it seriously - Businessday NG Nigeria's Cybersecurity Reckoning: The Breach Wave and the Council Racing to Catch Up The State Of Data Protection In Nigeria | Web Security Lab Chile suffered 27.6 billion cyberattack attempts in 2024 - Mundo en Línea 8 months after the cyber attack on GTD parent company of Telefónica del Sur: The consequences of the impact – Hour12 Entel Digital report warns of rise in ransomware, data leaks and cyberespionage in 2025 | Financial Journal AUMENTO CRÍTICO DE RANSOMWARE EN CHILE Revealed: leak uncovers global abuse of cyber-surveillance weapon | Surveillance | The Guardian Meet the Spyware Companies Preparing to Unleash Their Tech During Trump's 2nd Term Israeli Spyware Firm NSO Group Found Liable for Hacks of WhatsApp Users Trump Releases White House App With Dangerous Spyware & Israeli Spyware's Quiet Comeback Under Trump Smartphones Worldwide Silently Infected With Israeli Spyware & The "Peace President" War State Peter Thiel-Funded Company Anduril to Triple the Number of Autonomous Surveillance Towers Along the US-Mexico Border Oracle and the Rise of the AI Surveillance State Under Trump The Technocratic Trump Administration New Tab (17) Ben Norton on X: "Bombshell: a former electoral counselor in Honduras has published leaked recordings proving his country's 2025 election was stolen. The US helped put in power far-right politician Nasry "Tito" Asfura, who is closely linked to drug trafficking. Trump personally interfered in" / X HondurasGate & The Technocratic Takeover Of South America The Technocratic Regime Change: Under The Guise Of Freedom Technocrats Are Slowly Taking Control Trump & The Zionist/Globalist Technocrats Are Building Your New Society Whether You Like It Or Not The Network State Coup And The Engineered Transition To "Tech Zionism" The Israeli Election Interference and Psychological Operation Industrial Complex Revealed: the hacking and disinformation team meddling in elections | Technology | The Guardian Erik Prince wants to sell you a "secure" smartphone that's too good to be true | MIT Technology Review Bitcoin Donations Are Appreciated: www.thelastamericanvagabond.com/bitcoin-donation (3FSozj9gQ1UniHvEiRmkPnXzHSVMc68U9f)
In this episode of The New CISO, host Steve Moore welcomes Sherri Douville for a conversation that sits outside the show's usual lane — less war story, more blueprint. Sherri works alongside CISOs rather than inside the role, and arrives with a pointed argument about what the job is becoming.She starts with why TTIC exists. IEEE UL 2933 gave healthcare a full-stack standard for clinical IoT device and data interoperability, but a standard on paper does nothing until it is adopted, implemented, and maintained. Getting there in a high-reliability industry means pulling in CIOs, CISOs, physicians, and engineers — and, Sherri admits, negotiating turf wars with bodies who assume you have come for their territory.Then the headline: how to make security cool. Sherri's answer starts with visibility — getting CISOs onto stages, onto podcasts, and into print in front of clinical leadership. Underneath it is a claim about trust. In healthcare, trust is the core of the business rather than an adjacent concern, which makes the CISO its natural steward. With AI pushing trust to the center of every industry, she argues that is the opening to become the rock star of the C-suite.Steve raises a banking CISO's framing of AI as a curious seven-year-old with a gun. Sherri pushes back on the spot: her analogy is the gifted teenager — capable, resource-hungry, and badly in need of direction. That leads to her real thesis. Scarce expertise used to carry economic value, and AI is rapidly compressing the worth of expert analysis. What appreciates instead is judgment, authority, execution, verification, organizational integration, and ownership of the outcome. Executives do not want more reports; they want the security problem to go away without adding coordination burden.The last stretch turns practical. Sherri walks through running Exabeam's open-source Praxen against Medigram's own code — painless to run, with remediation effort scaling to whatever standard you are chasing — and pairs it with Observra for continuous runtime telemetry. She closes on why it matters: when systems go down in a hospital, the real damage is not the outage hour but the fortnight of delays, miscommunications, and pile-up that follows for clinicians and patients.Key TopicsWhy standards bodies stall at adoption, not authorshipMaking security “cool”: visibility, stages, and executive presenceTrust as the core of the business in high-reliability industriesThe gifted teenager vs. the curious seven-year-old with a gunJudgment, authority, execution, verification, integration, ownershipSelective depth and the player-coach executiveRunning Praxen pre-deployment; Observra for runtime telemetryWhat a healthcare outage really costs, 14 to 20 days outGuest BioSherri Douville is CEO and Architect of Medigram and Founder and Chair of the Trustworthy Technology & Innovation Consortium (TTIC). She co-chairs the Trust subgroup of IEEE UL 2933 (TIPPSS), the standard for trust in clinical IoT. Medigram builds and operates Darwin, a governed AI decision platform whose agentic fleet runs in production and writes a sealed governance record at the moment of every agent action — an auditable trail for counsel, courts, insurers, and credit rating agencies. Sherri spent over a decade at Johnson & Johnson across a dozen disease states before physician leaders pulled her into healthcare IT and AI. She calls herself an accidental technologist: a domain expert who got into the code, logging 200 GitHub commits across June and July.GET A DEMO:
AI is transforming the technology industry, but it's also transforming how we think about energy. As AI models continue to grow, data centres continue to pop up, and agentic AI becomes part of everyday life, our tech infrastructure is consuming more energy than ever before. So how do we power the next generation of AI? In this penultimate episode of our HPE Labs miniseries celebrating 60 years of innovation, Technology Now is joined by Cullen Bash, Deputy Director of HPE Labs, to discuss:Why energy is becoming a strategic concern for CIOs and CEOsHow the increasing demand for compute in data centres is reshaping how we think about energyWhy innovation in electricity generation is as vital as making infrastructure more efficientHow AI could help solve the very problems it is creating
Where did an item go, what happened to it along the way, and is it still in the condition a customer expects? In this episode, Reid Jackson chats with Amir Khoshniyati, Vice President at Wiliot. Amir explains how Wiliot describes physical AI for everyday assets: battery-free tags can give products and containers a digital identity, while Bluetooth Low Energy connections capture signals such as location, motion, temperature, humidity, and light exposure. That information can help teams see what happens between facilities where traditional tracking can lose sight of an item. The discussion also covers how physical AI can work alongside RFID, barcodes, QR codes, existing readers, ERP systems, and warehouse management systems rather than forcing companies to replace prior technology investments. Amir shares five core use cases—departure, receipt, condition, location and cycle count, plus visibility into reusable transport containers, and explains why food, grocery, CPG, automotive, logistics, healthcare, and 3PL operations are strong candidates for this approach. Looking ahead, Amir sees lower tag costs, broader deployments, and assets that may one day communicate with one another. For supply chain teams, the bigger idea is simple: better item-level data can support earlier decisions when products are delayed, misplaced, exposed to the wrong conditions, or headed to the wrong destination. In this episode, you'll learn: How physical AI can track an item's location and condition across the supply chain Why lower tag costs could expand item-level visibility across more industries How condition history can add context that inventory data alone may miss Things to listen for: (00:00) Introducing Next Level Supply Chain (03:23) Wiliot's physical AI platform for everyday assets (05:00) From IoT and ambient IoT to physical AI (09:01) Filling supply chain data blind spots (10:17) Brownout spots between facilities and in transit (12:26) Five core use cases for item and container visibility (14:48) Where Wiliot sees adoption across industries (18:05) How physical AI can coexist with RFID, barcodes and QR codes (22:10) Interoperability, standards and building on existing investments (25:01) What supply chains could look like over the next five years (29:52) Condition-aware perishables and product safety questions (31:54) Amir's favorite technology (32:41) What Amir wants to learn next Connect with GS1 US: Our website - www.gs1us.orgGS1 US on LinkedIn Connect with the guest: Amir Khoshniyati on LinkedInVisit Wiliot at https://www.wiliot.com/
This week @adafruit Noe and Pedro are working on new projects. Pedro is designing an IoT e-ink project while Noe is working on a candy dispenser for the upcoming halloween season. Tricolor Eink 4.2in https://www.adafruit.com/product/6382 Feather ESP32-S3: https://www.adafruit.com/product/5477 Eink Feather Friend: https://www.adafruit.com/product/4446 RFM95W Lora Radio: https://www.adafruit.com/product/3072 Feather RP2040 PropMaker https://www.adafruit.com/product/5768 Timelapse Tuesday: Mewtwo Skull Mask By Deadmoon https://makerworld.com/en/models/3082934-mewtwo-skull-mask https://youtu.be/qK4nFKmKrE8
Phishing resistant MFA is the difference between a bad guy getting one email address and a bad guy getting your entire company's inbox. On this episode, Prasanna, Dr. Mike Saylor, and I dig into why plain old multi-factor authentication isn't the finish line anymore; it's the starting line.We open with a real attack: a vulnerable REDCap database, stolen Google Workspace admin credentials, and email forwarding rules quietly running for over a year before anyone noticed. From there Mike breaks down how social engineering actually works (the research bad guys do on you before they ever send an email) and why "report as phishing" buttons have themselves become an attack vector. I share the story of the free credit monitoring scam that got me, and why freezing your credit reports is one of the best five-minute security moves you can make.Mike then walks through FIDO2 and passkeys, why they're built on old-school public/private key encryption, and why they're transactional instead of just another code sent to your phone. We cover the Flax Typhoon espionage campaign, the Raptor Train botnet, and how hard-coded credentials on IoT devices turned into root-level access for a foreign intelligence operation.Then Mike introduces "killing the trust button," which is phrase for the idea that most networks default to open, and every one of those defaults is a decision somebody made without thinking about the risk. We talk about blocking traffic by country, limiting concurrent logins, expiring MFA tokens, and why starting with your administrative accounts is the easiest place to build momentum. And yes, we talk about just asking an AI assistant like Copilot or Claude to walk you through turning this stuff on, because you probably already have these tools and don't know it.We close on why MFA by itself still isn't enough — session token theft, MFA exhaustion attacks, and the "remember this device" setting that undoes everything you just set up. If you're the person responsible for an environment with important accounts sitting there with no MFA, we've got a name for that, and it's not a nice one.Chapters:0:00 – Cold Open1:31 – Welcome to the Show4:12 – The REDCap/Google Workspace Attack8:38 – Social Engineering: How Attackers Do Their Homework13:06 – Freeze Your Credit Reports16:55 – What Is FIDO2? (Phishing Resistant MFA Explained)18:58 – Flax Typhoon and the Raptor Train Botnet24:43 – Professional Malfeasance: No More Excuses for Skipping MFA28:05 – Killing the Trust Button32:51 – Start With Your Administrative Accounts36:36 – Why MFA Alone Isn't Enough: MFA Exhaustion39:27 – Passkeys, Impossible Travel, and Final Takeaways
Patrick Moorhead and Daniel Newman break down Marvell's $120 billion custom-silicon deal with Google, Qualcomm-owned Modular's open-source compiler push at ModCon 2026, and state-level pushback against AI data center construction in Texas and Pennsylvania. The hosts also flip roles to debate whether NVIDIA's reduced Ohio financing guarantee signals cracks in the AI infrastructure buildout. The handpicked topics for this week are: Marvell and Google Finalize $120 Billion Custom-Silicon Deal: Marvell secured a six-and-a-half-year agreement with Google worth close to $20 billion annually, alongside a warrant covering approximately 7% of the company. The deal extends Marvell's position across all three major hyperscalers through attach silicon: accelerators, optical and networking connectivity, memory interfaces, and near-memory compute built around the TPU ecosystem. Patrick Moorhead noted Marvell's CXL memory-pooling work signals where next-generation architecture is heading beyond current TPU designs. (The Decode) Modular Delivers on Open Compiler Promise at ModCon 2026: Modular open-sourced its Mojo compiler under Apache 2.0 and launched Modular Cloud, a platform letting enterprises arbitrate across both AI models and underlying hardware architectures. Moorhead reported the update removes device restrictions from the Max license and adds support for AWS Trainium and Qualcomm's own data center accelerators, with an alliance program set to launch by year-end. He argued the move gives Qualcomm indirect revenue exposure across every token served, extending its footprint from data center to edge, robotics, and industrial IoT. (The Decode) OpenAI Balances a Safety Push With Codex-Driven Enterprise Wins: OpenAI paused reinforcement learning for its newest model and strengthened its data-retention policies, while high-profile Codex results—including Asana compressing an estimated five-year engineering effort into two weeks—showcased its enterprise impact. Daniel Newman saw the timing as an effort to reset the narrative around safety and transparency after months of competitive pressure from Anthropic. Patrick Moorhead also examined OpenAI's use of activation classifiers, which monitor internal model activity token by token and trigger deeper review only when risks are detected—a safeguard that adds roughly 20% to inference costs. (The Decode) Texas and Pennsylvania Tighten Rules on AI Data Center Development: Governors in both states issued new restrictions within two weeks of each other, with Texas pausing new approvals pending an audit, and Pennsylvania adding fresh permitting requirements. Moorhead reported that at least 40% of Texas's planned data centers run on self-sustaining natural gas power and never touch the ERCOT grid. Newman connected the political friction to a communications gap, noting recent polling shows more support for a nuclear plant nearby than a new AI data center. (The Decode) Micron Commits $10 Billion to Boise Research Labs on Top of $50 Billion Fab Buildout: Micron unveiled a decade-long research lab investment in Boise, Idaho, alongside its existing $50 billion fabrication expansion, part of a CapEx program Newman noted totals roughly a quarter trillion dollars in commitments. Both hosts framed the spending as reinforcing memory's strategic status alongside leading-edge logic, with Newman citing HBM's technical differentiation as harder for competitors to replicate than standard NAND or DRAM. Moorhead pointed to Micron CEO Sanjay Mehrotra's argument that domestic memory manufacturing will determine AI leadership. (The Decode) The Flip: Is NVIDIA's Ohio Scale-Back a Capex Crack or Disciplined Structuring?: NVIDIA reduced its financing guarantee for OpenAI's Ohio data center from $250 billion to under $120 billion, a shift Moorhead argued as the first visible sign of balance-sheet discipline overtaking the demand story. Newman countered that the adjustment is one component of a financing platform exceeding $600 billion, with the ceiling free to rise toward $350 billion as compute commitments grow. The Flip assigns Patrick Moorhead and Daniel Newman opposing sides of a debate, not necessarily their own positions. The exercise tests how far each argument holds up. (The Flip) Micron ($MU) Reclaims $1,000 for First Close Since Early July: Micron shares closed above $1,000 on Monday, August 17, with analyst price targets extending to $2,200 as HBM capacity books through 2027. Newman tied the stock's volatility to broader credit and bond-market conditions, including rising long-term Treasury yields. Moorhead noted the White House recently discouraged Apple from sourcing Chinese memory, a factor he sees supporting the move. (Bulls and Bears) Analog Devices ($ADI) Posts First-Ever $4 Billion Quarter: Analog Devices reported fiscal Q3 2026 results Wednesday, August 19, beating on revenue and EPS with a Q4 guide above consensus. Moorhead noted the company's data center business, filed under its communications segment, grew 84%. He argued Analog Devices under-tells that story relative to peers like Coherent, which market similar exposure more directly. (Bulls and Bears) Watch the full episode at sixfivemedia.com and subscribe to the Six Five Pod so you never miss an episode. Six Five Summit: AI Unleashed runs August 25–27, fully virtual, with speakers including Marc Benioff and leaders from Snowflake, Applied Materials, and Marvell. Register at sixfivemedia.com/summit. The Decode Marvell + Google https://finance.yahoo.com/technology/ai/articles/marvell-lands-white-whale-google-072339694.html Modular Mojo 1.0 https://www.modular.com/blog/mojo-open-source OpenAI Safety Controls https://x.com/OpenAI/status/2090165328290701800 Texas + Pennsylvania Data Center Rules https://www.reuters.com/legal/government/pennsylvania-governor-signs-order-imposing-new-rules-set-up-ai-data-centers-2026-08-18/ ; https://www.reuters.com/business/energy/texas-governor-orders-pause-new-data-center-approvals-pending-audit-2026-08-04/ Micron Boise Investment https://www.cnbc.com/2026/08/20/micron-boise-chip-fab-expansion.html The Flip FOR: https://www.wsj.com/tech/nvidia-downsizes-plans-for-250-billion-guarantee-of-openai-data-center-b56c38d3 AGAINST: https://www.cnbc.com/2026/08/10/nvidia-wall-street-asset-managers-500-billion-ai-push.html Bulls and Bears Micron ($MU) https://finance.yahoo.com/markets/stocks/articles/micron-reclaims-1-000-amid-015952797 Analog Devices ($ADI) https://investor.analog.com/news-releases/news-release-details/analog-devices-reports-record-fiscal-third-quarter-2026
Episode 285 explores how one woman's personal wake-up call transformed into a mission to improve the air we breathe
In this episode, Jason Pritchard is joined by Mohamed Ben Tahar, Director for Automotive and IoT at Trimble, to explore the technology and infrastructure needed to make Advanced Air Mobility commercially viable. Mohamed explains why precise and reliable positioning will be critical as the industry moves from demonstration flights towards scaled autonomous operations. He discusses Trimble's work in GNSS, sensor fusion and space-delivered infrastructure, as well as the challenges posed by vertical positioning, connectivity and 5G coverage. The conversation also explores lessons from automotive, construction and mining, the importance of data interoperability, digital twins and real-time mapping, and how AI could transform air traffic management. Mohamed highlights emerging opportunities in North America and Canada, before looking ahead to routine autonomous cargo and medical flights. He concludes by sharing his vision for AAM to connect rural communities and satellite hospitals through zero-emission, three-dimensional flight networks.
TestTalks | Automation Awesomeness | Helping YOU Succeed with Test Automation
Manual testing never died. IoT is the proof. In this episode, Joe Colantonio talks with Oleksii Cherkashyn, a QA team lead, automation engineer, and IoT testing specialist who built a complete test architecture from scratch across hardware, firmware, mobile, web, and API. IoT breaks the usual automation playbook. You are not testing a shopping cart. You are connecting a real microcontroller, flashing a sketch, validating that a physical command produced the right change in a dashboard widget, and then doing the same thing again through the REST API and the mobile app. No marketplace framework covers that, so Oleksii built his own. You'll learn: Why manual QA remains essential in IoT and which cases can never be automated How Oleksii built a custom Node.js library to simulate up to 50,000 device connections for performance testing without buying the hardware Why he chose WebDriverIO over Playwright and the mobile automation reason behind it How he uses WebDriverIO MCP and cloud coding agents every day to create and repair tests The hard truth about dependent test chains and where AI agents still hallucinate How to handle time based scenarios like sleep modes, daily triggers, and delayed notifications Static versus dynamic provisioning, and how to test OTA firmware updates What to do first if your company hands you an IoT device and you have never tested hardware If you work in test automation and you want a look at the layer of testing that AI is not coming for, this one is for you. Listen up, and check out the links below for everything mentioned in this episode.
The hosts discuss confusion caused by Microsoft's email warning that Publisher will end in October 2026 and urging users to convert files to PDF. Jerry shares how he's been using AI—especially Claude (and sometimes ChatGPT)—to speed up IT work: creating an Addigy printer pool by assigning static IPs to flaky Brother network printers, analyzing Mac logs with Claude to find a runaway Chrome render process causing memory pressure, and using the Quitter app to auto-quit Chrome as a workaround for battery and performance issues. He also describes fixing a weak UniFi doorbell connection by creating a 2.4GHz-only SSID and broadcasting it on multiple access points. The conversation broadens to AI guardrails, environmental and economic concerns, and social impacts. They cover security-minded IoT network segmentation, Sonos reliability, a client scare about entering a Mac password prompted by Touch ID autofill in private browsing, RingCentral sidebar customization, presbyopia eye drops, and phone accessory tips including ESR screen protectors, Spigen cases, camera lens vulnerability, battery health, and pros/cons of Apple's iPhone Upgrade Program. 00:00 Podcast Kickoff Banter 00:19 Microsoft Publisher Panic 01:39 AI Fixes Printer Deployments 04:19 Claude Reads Mac Logs 05:53 Quitter App Chrome Workaround 08:14 AI Ethics and Guardrails 12:07 AI Economy Bubble Talk 16:03 UniFi Doorbell WiFi Fix 20:23 IoT Networks and VLAN Trust 25:00 Sonos Reliability Updates 28:12 Experian Password Scare 30:06 Touch ID Prompts Confuse Users 32:00 V-Neck and Beard Side Chat 32:18 Beard and Shirt Banter 32:54 Eye Drops for Presbyopia 35:23 Screen Reflections on Calls 37:11 RingCentral Sidebar Hack 39:21 Best Budget Screen Protectors 41:58 Do You Even Need Protectors 44:27 Cracked Camera Lens Mystery 47:06 Battery Health and Upgrade Temptation 52:07 iPhone Upgrade Program Debate 57:54 Wrap Up and Sign Off
Joaquin Torrecilla began his engineering career programming a Sinclair Spectrum in Basic and Assembler. He later tested some of the industry's very first commercial Bluetooth solutions. Today, he remains at the forefront of RF and protocol testing. In this episode, Joaquin shares key insights from his 20 years with the 3GPP RAN Plenary. He also discusses the complex balance required to create and certify global wireless testing standards. The conversation dives deep into the game-changing capabilities of 5G Advanced. Joaquin breaks down the impact of: Network Slicing: Customizing virtual channels for specific industry needs. Time-Sensitive Networking (TSN): Keeping strict synchronization across wired and wireless systems. Non-Terrestrial Networks (NTNs): Connecting standard devices directly to space. Joaquin explains how fast-moving low Earth orbit (LEO) satellites manage continuous handovers overhead. We also learn how these satellites use high-precision laser links to talk to each other in orbit. Finally, he explains RedCap (Reduced Capacity) 5G. This technology acts as a cost-optimized, low-power bridge for smartwatches and IoT devices. Looking to the future, Joaquin discusses the early stages of 6G. This next generation of wireless will be AI-native from day one. Its architecture will automatically optimize network layers and manage massive amounts of test data. Joaquin now leads software transformation at Keysight. This background allows him to highlight how modern networks are moving away from proprietary hardware boxes and shifting to virtualized software stacks. To wrap up, Joaquin offers great advice for younger engineers. He explains why the test and measurement industry provides unmatched, system-level knowledge.
By Doug Green Nearly 85% of healthcare organizations experience network or security disruptions that can affect patient care and privacy, while two-thirds of healthcare IT teams say they are strained or constantly firefighting, according to new research released by Nile. The findings are part of Nile's new report, “The State of Networking, Security & AI in Healthcare,” based on responses from more than 300 IT leaders, C-level executives, and network and security practitioners worldwide. In a Technology Reseller News podcast, I spoke with Shashi Kiran, CMO of Nile, about what the findings reveal about healthcare networking and why the problem goes beyond cybersecurity tools to the underlying architecture. Healthcare networks now connect hospitals, outpatient facilities, imaging centers, remote locations and large numbers of medical and IoT devices. Many of those devices cannot simply be patched or equipped with traditional security agents, yet they may operate alongside critical systems such as electronic health records. That complexity has consequences. According to Nile, 38% of healthcare organizations experience network or security disruptions at least weekly. Cybersecurity threats and ransomware ranked as the top network challenge at 27%, ahead of staffing shortages and lack of expertise at 23%. Kiran argues that adding more staff alone will not solve the problem. About 66% of healthcare IT teams described themselves as strained or firefighting, while only 18% said they were comfortably managing network operations. “Most often people think that it's throw more resources at the problem,” Kiran says. “More often than not, that's not the case.” Zero Trust and the Containment Gap Only 38% of organizations surveyed report partial or full Zero Trust implementation, while 26% are aware of Zero Trust but have no concrete plans to implement it. The research also found that only 20% of respondents are confident their networks can contain a cyber incident across medical, IoT, clinician and guest devices. Sixty-one percent are not confident or only slightly confident. Kiran says the challenge is creating a consistent security posture across environments that may include conventional IT, operational technology and medical devices managed by different teams. “Zero Trust is not a protocol or a feature,” he says. “It's really a holistic posture that you need to have on an end-to-end basis.” He also points to the complexity of legacy infrastructure, describing some environments as a “Frankenstein architecture” assembled over time from different systems, vendors and operational processes. That complexity can make troubleshooting more difficult and itself become a security problem. AI and NaaS The report also shows strong interest in new operating models. Sixty-four percent of healthcare organizations surveyed are open to adopting Network-as-a-Service to simplify operations and strengthen security, while 20% of more mature organizations now view AI-driven automation as essential to running their networks. Nile argues that combining Zero Trust, automation and networking into the infrastructure itself can help healthcare IT organizations move from constant firefighting toward more proactive operations. For Kiran, that shift ultimately comes back to healthcare's core mission. “In healthcare, the network is the lifeblood of patient care — when it falters, both patient care and patient privacy are put at risk,” he said in announcing the research. The takeaway is that networking, security and patient care are increasingly interconnected. As healthcare organizations enter their next infrastructure refresh cycle, Nile believes the opportunity is not simply to replace old equipment, but to rethink an architecture that has become too complex to operate and secure effectively. The full “The State of Networking, Security & AI in Healthcare” report is available from Nile.
Artificial intelligence is changing the way facilities operate, but successful adoption starts long before implementing new technology. Recorded live at World Workplace Asia-Pacific in Hong Kong, Dr. Matt Tucker, IFMA's Director of Knowledge and Research, sits down with Serena Pau, Chief Commercial Officer at Neuron Digital, to discuss digital transformation across the region, the importance of breaking down data silos and why curiosity may be one of the most valuable skills facility managers can develop. They also explore how AI can improve reporting, energy management and decision-making while keeping people at the center of the workplace. Timestamps: 0:00 - AI should enhance, not replace, people 0:24 - Introduction to Serena Pau and Neuron Digital 2:18 - Digital maturity across Asia-Pacific 4:08 - Balancing AI with the human side of facility management 6:11 - Why change management matters more than technology 7:00 - World Workplace 2026 7:35 - Where AI can make the biggest impact today 8:46 - Turning AI insights into actionable recommendations 9:02 - Why curiosity is the most important AI skill 10:21 - The rise of the FM analyst 11:02 - Using AI to improve reporting and tell better data stories 12:18 - Building a future-ready digital strategy 13:17 - Mindset before technology 13:43 - Closing remarks Connect with Us:LinkedIn: https://www.linkedin.com/company/ifmaFacebook: https://www.facebook.com/InternationalFacilityManagementAssociation/Twitter: https://twitter.com/IFMAInstagram: https://www.instagram.com/ifma_hq/YouTube: https://youtube.com/ifmaglobalVisit us at https://ifma.org
For about a decade, a customer data platform's job was to be the place your customer data lived. What happens to that job when the most valuable thing a system can do goes beyond remembering and evolves to deciding and acting?Agility, in a category that's been declared dead more than once, isn't chasing whatever the market renames itself this quarter. It's being able to change what your product does without losing the thing your company is actually good at.Today we're going to talk about what it takes to evolve a category from the inside. Specifically:- Why fifteen years of data infrastructure turned out to be an advantage rather than baggage to shed.- What actually changes — in the product and in the company — when a system stops solely storing customer data and starts acting on it.- Where the line sits between a marketer steering an agent and a system running on its own.This conversation also kicks off a four-part series we're running this week with the product team at Treasure AI: four leaders, four vantage points: the vision, the roadmap, the operational reality, and the design.To help me start it off, I'd like to welcome Rafa Flores, Chief Product and Growth Officer at Treasure AI.About Rafael FloresAs a proud immigrant from Honduras, Rafael's journey is rooted in three core values passed down from his family: the power of education, treating everyone with dignity—no matter their background—and lifting up the next generation. Once he was an wide-eyed kid with big dreams, and today, he's living them. He's dedicated his career to scaling SaaS companies from startup spark to high-growth success. At Meltwater, he played a key role in driving product innovation and market readiness that led to a successful IPO. At Datanyze, he led strategic initiatives that culminated in an acquisition by ZoomInfo—boosting their data intelligence footprint. At ARM, he spearheaded innovation in Retail SDK and IoT, opening new frontiers in connected experiences. And at 6sense, he led all automation, data, and AI-powered products, building inclusive teams and solutions that empower GTM leaders to sell smarter. At Treasure Data, he helped orchestrate a landmark $600M acquisition by ARM and secured record-breaking funding for the Customer Data Platform. Now, he's back—leading Treasure Data into a new era of intelligence and automation built for scale. It's more than a comeback; it's a homecoming. This is a team he deeply believes in—brilliant, driven, and purposeful. Beyond tech, he's a devoted father of three and married to a registered nurse whose compassion and strength inspires him every day. My expertise lies in product strategy, CDPs, data privacy, and scaling GTM solutions—from agile startups to Global 2000 enterprises. He's passionate about solving hard problems with technology, driving sustainable growth, and mentoring rising product leaders. As a member of the Forbes Technology Council, he aims to share insights, spark dialogue, and help shape the future of innovation—one conversation, and one leader, at a time.Rafael Flores on LinkedIn---------- Resources ---------- Treasure AIReach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad creditCheck out the Treasure AI Studio sandbox for yourself.Enjoyed the show? Tell us more at and give us a rating so others can find the show.Connect with Greg on LinkedInDon't miss a thing: get the latest episodes, sign up for our newsletter and more.Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology.The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. Hosted on Acast. See acast.com/privacy for more information.
Today we are joined by Ian Goldin, Senior Lead Information Security Engineer, and Mike Horka, Principal Information Security Engineer, from Lumen's Black Lotus Labs, discussing their research entitled "Expanded JDY IoT and SOHO botnet enables rapid vulnerability exploitation." Black Lotus Labs has uncovered a major resurgence of the JDY botnet, a China-nexus reconnaissance network now comprising more than 1,500 compromised SOHO and IoT devices. The botnet uses these devices to conduct targeted scanning and fingerprinting, helping threat actors rapidly identify vulnerable infrastructure—sometimes within hours of a new vulnerability disclosure—and appears to have a particular focus on U.S. military-related networks. The research highlights how compromised routers and IoT devices can be turned into distributed reconnaissance infrastructure that evades traditional IP-based defenses and supports follow-on exploitation. The research and executive brief can be found here: Expanded JDY IoT and SOHO botnet enables rapid vulnerability exploitation
Today we are joined by Ian Goldin, Senior Lead Information Security Engineer, and Mike Horka, Principal Information Security Engineer, from Lumen's Black Lotus Labs, discussing their research entitled "Expanded JDY IoT and SOHO botnet enables rapid vulnerability exploitation." Black Lotus Labs has uncovered a major resurgence of the JDY botnet, a China-nexus reconnaissance network now comprising more than 1,500 compromised SOHO and IoT devices. The botnet uses these devices to conduct targeted scanning and fingerprinting, helping threat actors rapidly identify vulnerable infrastructure—sometimes within hours of a new vulnerability disclosure—and appears to have a particular focus on U.S. military-related networks. The research highlights how compromised routers and IoT devices can be turned into distributed reconnaissance infrastructure that evades traditional IP-based defenses and supports follow-on exploitation. The research and executive brief can be found here: Expanded JDY IoT and SOHO botnet enables rapid vulnerability exploitation
Most people know HPE for servers, compute, and storage. David Hughes leads a pillar that gets less attention. He runs the SSE and security business inside HPE Networking, which he says accounts for about a third of the company now that HPE has merged with Juniper, and which organizes into four pillars: campus and branch, data center switching, routing infrastructure, and security. Recorded on location at Black Hat USA 2026, the conversation opens on a balancing act Hughes hears constantly. Customers want to push hard on AI adoption while staying protected and avoiding undue risk. The same tension runs between teams. Networking answers for performance and user experience. Security answers for protecting those users and the company's data. HPE's answer is to embed security thinking into the network itself, making it a sensor and an enforcement point for the security team. What happens when users are no longer only people? The identity question moves to devices, workloads, and agents. Hughes frames it as human and non-human identity, and his position is to take the ZTNA architecture that works for people and adapt it, starting with IoT devices, then workloads, then agents. Put an agent in a sandbox and it sees only the subset of resources it is supposed to reach. How do networking and security teams work from the same picture? Through shared visibility and agentic technology across the management layer. HPE is putting agentic technology into how it manages storage, compute, networks, and security products, then meshing those agents together so a wifi complaint that turns out to be a firewall policy change gets to root cause faster, with automatic remediation as the goal. Hughes also covers post-quantum cryptography, where HPE is moving across all product lines to introduce quantum resistant and quantum safe capabilities in hardware and software, with some launched this year and more coming through the following quarters. The deadline arrives earlier than most calendars suggest, because data harvested today can be decrypted later. Rounding it out: HPE Threat Labs, announced earlier in the year with Mounir Hahad's team from Juniper at its core, and AI focused capabilities on the next generation firewalls covering observability, role based governance over which services employees can use, and session level inspection of prompts and responses. Hughes closes with a direct invitation to CISOs who know HPE for compute and networking and have yet to meet the security team. This is a Brand Briefing. A Brand Briefing is an on-location conversation recorded on site at Black Hat USA 2026, putting a spotlight on the guest and their company and pairing it with the editorial reach of ITSPmagazine. Learn more: https://www.studioc60.com/performance/#briefing GUEST David Hughes, SVP and GM of SASE and Security for Networking at HPE On LinkedIn: https://www.linkedin.com/in/david-hughes-42751636/ RESOURCES Black Hat USA 2026 event coverage from ITSPmagazine: https://www.itspmagazine.com/black-hat-usa-2026-cybersecurity-event-coverage-in-las-vegas HPE: https://www.hpe.com/ HPE Threat Labs: https://www.hpe.com/us/en/hpe-labs/threat-labs.html 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 david hughes, hpe, sean martin, brand briefing, brand story, brand marketing, marketing podcast, black hat usa 2026, zero trust, ztna, non-human identity, agentic ai, ai security, post-quantum cryptography, network security, sase, sse, hpe threat labs, self-driving network, firewall governance, juniper, iot security, cross domain troubleshooting Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
NR+, aka DECT-2020 NR, is a non-cellular 5G wireless technology standard that operates without cell towers or operator subscriptions. It offers private, highly scalable mesh connectivity in the license-exempt 1.9-GHz frequency band for such applications as industrial IoT and industrial automation. That said, other long-range standards offer similar connectivity. So the obvious question for me is, “Why do we need NR+?” To answer that question, I spoke to Nick Dutton, a Strategic Advisor to Last Mile Semiconductor. Nick answered my question, and lots more along the way, in this week's Embedded Executives podcast.
Remember those grainy old baby monitors? So passé. Today, the modern nursery can be equipped with HD cameras and biometric sensors — all analyzed with artificial intelligence.The technology can detect hazardous position changes or a blanket covering a baby's face, but also tracks less critical metrics that purport to help optimize infant sleep and health. Sapna Maheshwari, business reporter at The New York Times, recently wrote about this. She's been an avid user of the Nanit Smart Baby Monitor System with both of her children.More on this“Aw, It's Baby's First A.I. Surveillance System” from The New York Times“AI-powered IoT is creating a new security challenge” from Spiceworks
Remember those grainy old baby monitors? So passé. Today, the modern nursery can be equipped with HD cameras and biometric sensors — all analyzed with artificial intelligence.The technology can detect hazardous position changes or a blanket covering a baby's face, but also tracks less critical metrics that purport to help optimize infant sleep and health. Sapna Maheshwari, business reporter at The New York Times, recently wrote about this. She's been an avid user of the Nanit Smart Baby Monitor System with both of her children.More on this“Aw, It's Baby's First A.I. Surveillance System” from The New York Times“AI-powered IoT is creating a new security challenge” from Spiceworks
Hoje o papo é sobre IA no mundo físico! Neste episódio, conversamos sobre como a chamada “Physical AI” leva modelos de IA para robôs e dispositivos capazes de perceber e agir no mundo real. A conversa passa pelos desafios de destreza e padronização, além do ecossistema open source de braços robóticos, drones e automação residencial. Vem ver quem participou desse papo: Paulo Silveira, o host que só queria melhorar o Wi-Fi de casa Vinny Neves, cohost, dev e professor na Alura Lucas Ribeiro Mata, Coordenador de Conteúdo Educacional na Alura e pesquisador em IA, IoT e robótica Daniel Romero, AI Engineer e entusiasta de robótica Links: Entrevista de Elon Musk para The Economist Nvidia explica Physical AI Action Chunking with Transformers ROS: Robot Operating System LeRobot, da Hugging Face SO-101, braço robótico open source Unitree Robotics Waddle Labs Post do Daniel sobre a construção de uma Physical API Home Assistant Shelly Govee MQTT Arduino ESP32 STM32 Raspberry Pi 5 NVIDIA Jetson Text to CAD Paulo Silveira: Automação Residencial, Engenharia Reversa e Cemitério de Repositórios Conheça as Formações em Inteligência Artificial da Alura, mergulhe com profundidade no universo da IA, e domine as principais ferramentas que estão moldando o agora. Vá para o Vale do Silício com Paulo Silveira, Marcell Almeida, Fabrício Carraro e Marcus Mendes na “Imersão IA Sob Controle e Alura no Vale do Silício“! Vagas limitadas, corra para reservar a sua. TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts
As estradas brasileiras estão ficando cada vez mais conectadas. A expansão do Free Flow, sistema de pedágio sem cancela, é uma das mudanças mais visíveis, mas está longe de ser a única. Por trás dos novos pórticos existe uma infraestrutura que combina conectividade, identificação por radiofrequência, leitura de placas e softwares capazes de processar as informações dos veículos. E mesmo quando a conexão cai, os dados podem ficar armazenados no próprio equipamento para serem transmitidos depois. A inteligência artificial também começa a ganhar espaço nas rodovias. Novos sistemas de visão computacional conseguem analisar imagens com rapidez e identificar situações como motoristas usando o celular ou sem o cinto de segurança. Mas colocar toda essa tecnologia para funcionar traz desafios. Além da cobertura de internet nas estradas, a expansão do Free Flow exige adaptação dos motoristas a uma nova forma de pagamento. Para quem não utiliza uma tag, por exemplo, é preciso lembrar de consultar e quitar a cobrança posteriormente. No novo episódio do Podcast Canaltech, Elisa Fontes conversa com Daniel Fuchs, VP de Inovação da Arqia e especialista em IoT, conectividade e transformação digital, sobre a infraestrutura por trás dessas mudanças e os desafios para tornar as rodovias brasileiras mais conectadas. A conversa também olha para o que vem pela frente. Com mais conectividade, as estradas poderão ampliar o rastreamento de cargas, monitorar condições como temperatura e peso de caminhões e criar infraestrutura para uma futura adoção de veículos autônomos. Você também vai conferir: Meta lucrou com anúncios de exploração infantil gerados por IA, tecnologia do Spotify quer transformar as compras online e Photoshop e outras ferramentas da Adobe chegam ao ChatGPT. Este podcast foi roteirizado e apresentado por Fernanda Santos e contou com reportagens de Marcelo Fischer e André Magalhães. A trilha sonora é de Guilherme Zomer, a edição de Yuri Sousa e a arte da capa é de Erick Teixeira. O Podcast Canaltech está concorrendo para entrar no Top 20 do Prêmio iBest 2026! Se você acompanha nossos episódios, curte as entrevistas e gosta do conteúdo que produzimos todos os dias, sua ajuda pode fazer toda a diferença. Vote no Podcast Canaltech aqui. É rápido, gratuito e você pode votar até 3 vezes por dia.See omnystudio.com/listener for privacy information.
The Connectivity Standards Alliance (CSA) has a significant task in its hands. As a global body encompassing hundreds of companies, its goal is to create and promote open, universal standards in the wireless space, including (in a big way) the IoT. The goal sounds great, but having most of the major suppliers contributing and providing products for all corners of the globe can cause the process to become unwieldy. To understand how this group works, and how it is moving forward—which it is clearly doing—I spoke to Tobin Richardson, the CSA's President and CEO, on this week's Embedded Executives podcast.
AI is changing more than the speed of accounting work. It is changing what firms can sell and how clients measure value.Shawn Yeager, founder of Upshift, joins Tom Wadelton and Adam Hale to discuss how AI is reshaping pricing and service design across professional services. After three decades commercializing emerging technology, including work on Microsoft's first browser team, Shawn now helps firms turn AI from an internal efficiency project into a commercial strategy.Shawn explains why the billable hour as a unit of value is changing, how firms can separate routine work from judgment and trust, and why advisory should be packaged around specific outcomes rather than broad labels. He also shares a four-quadrant approach for reviewing service lines, a product-market fit process for testing new offers, and why firms should build their context and workflows instead of chasing every new AI tool.Accounting firm owners concerned about margin compression, commoditization, or where to invest next will find practical direction in this episode. Tune in to How AI Is Forcing Accounting Firms to Rethink Pricing with Shawn Yeager.Episode resources:● Website: https://anderscpa.com/● If you have questions or would like to be a guest on the show, email us at mcpasuccessshow@anderscpa.com● Check out the Virtual CFO Playbook Course:https://anderscpa.com/virtual-cfo-services/vcfo-playbook/QuotesShawn Yeager: “Billing by the hour will likely outlive us all, for good or bad, but the billable hour as a unit of value is forever changed.”Adam Hale: “I think now we've got to move from insights to action.”Shawn Yeager is the founder of Upshift, where he helps professional services firms commercialize AI. He has spent three decades commercializing emerging technology, beginning on Microsoft's first browser team and continuing through cloud infrastructure, IoT, digital payments, and AI. Along the way, he has generated more than $300 million in revenue and now advises founders and startup boards.Learn more about Upshift and explore their free assessment and pricing calculator at upshiftco.com. LI: https://www.linkedin.com/in/shawnyeager/The Modern CPA Success Show is the go-to podcast for accounting firm owners eager to enhance profitability and master Virtual CFO services. This podcast leverages combined expertise in delivering top-tier Virtual CFO services across North America.Website: https://www.buzzsprout.com/2458888 Facebook: https://www.facebook.com/AndersCPA LinkedIn: https://www.linkedin.com/company/anders-cpa/ Instagram: https://www.instagram.com/anderscpa/ YouTube: https://www.youtube.com/@andersvcfo Tom Wadelton is a Virtual CFO at Anders, bringing over 20 years of financial expertise from his tenure at a Fortune 500 company. He has extensive experience spanning financial management, accounting operations, and information technology integration. Tom specializes in delivering strategic Virtual CFO services, helping businesses optimize their financial performance through advanced accounting solutions.Website: https://anderscpa.com/about/your-anders-team/#thomas-d-wadelton LinkedIn: https://www.linkedin.com/in/tomwadelton/ Adam Hale, CPA, is a Partner and Managing Director of Advisory at Anders dedicated to transforming traditional accounting practices through innovative Virtual CFO services. With over 20 years in public accounting, Adam has been instrumental in the ideation and development of CPA training courses. Website: https://anderscpa.com/about/your-anders-team/#adam-hale LinkedIn: https://www.linkedin.com/in/adamhalecpa/
Send us Fan MailYou sit down with your design tool, paint coverage to -67 dBm, target 100+ Mbps everywhere, validate it, and present a beautiful heatmap. Then you open the controller and leave the minimum basic rate at 6 Mbps — an MCS 0. Your design says MCS 0 should never happen. So why are you protecting it?In this episode, Jim walks through the real cost of low MBR settings: beacons and management frames burning airtime at the lowest configured rate, multicast traffic crawling while unicast flies at MCS 9+, inflated cell sizes creating co-channel interference you didn't design for, and neighboring APs deferring to frames serving clients that shouldn't exist in your coverage area. Using field data from a recent network audit, Jim shows what beacon overhead actually looks like when 11b is still enabled and MBR is left at defaults — and what changes when you raise it to 24 Mbps.The episode also tackles the IoT pushback head-on: possible vs. probable, why segmentation beats accommodation, and why the answer to "but what if a device can't connect at 24?" is to handle the exception, not punish a thousand clients for it.Design for probable, adjust for possible. Trust your own design.Intro music by Alex Grohl, available here:https://www.youtube.com/watch?v=ZsRWpx8VJ_Eandhttps://pixabay.com/users/alexgrohl-25289918/
This week Ivy Slater, host of Her Success Story, chats with her guest, Parminder Batra. The two talk about redefining career paths as a non-technical founder in the tech industry; the journey from practicing law to creating TraknProtect, a company dedicated to improving hotel staff safety and combating human trafficking; and the powerful impact of mission-driven innovation on both business success and social change. In this episode, we discuss: How TraknProtect's initial concept was sparked by a family frustration with keeping track of personal belongings, and how this evolved into a tech solution. What unique challenges and perspectives Parminder faced as a non-technical founder entering both the tech and hospitality industries. When the pivotal shift occurred to prioritize safety and anti-human trafficking as core missions for TraknProtect, notably around 2017 in response to regulatory and social movements like #MeToo. Why the vulnerability of hotel staff and the prevalence of human trafficking in the hospitality industry highlighted an urgent need for better safety solutions. Who is impacted by the work, emphasizing both hotel employees' safety and survivors of human trafficking, as well as the broader industry's responsibility to protect. Parminder Batra is the Founder and CEO of TraknProtect, a leading hospitality technology company focused on employee safety, operational efficiency, and connected workplace solutions. With a background spanning business, law, mediation, and entrepreneurship, Parminder has built her career around solving complex operational challenges through innovation, strategic leadership, and purpose-driven technology. Since founding TraknProtect, she has led the company's growth into a trusted partner for some of the world's most recognized hospitality brands, such as Hilton, IHG, Peninsula, Accor and several others, helping organizations modernize how they approach safety, communication, compliance, and real-time visibility across their properties. Under her leadership, TraknProtect continues to pioneer solutions including employee safety technology, connected communications, location-based services, and intelligent IoT innovations designed to protect teams while elevating operations. Parminder is also a passionate advocate for workplace safety, women in leadership, and social impact, with a strong commitment to helping organizations create environments where people feel protected, empowered, and supported because she believes Safety is a Right for every person in every organization. Her leadership combines strategic vision with a deep understanding of the human side of business, driving meaningful change across the hospitality and technology industries. Website: https://www.traknprotect.com/ Social Media Links: https://www.linkedin.com/in/parminderbatra/
An airhacks.fm conversation with Olimpiu Pop about: discussion about the Java Advent calendar 2025, running AI inference in the enterprise with Java versus python, why inference needs a mature ecosystem, the confusion between machine learning, inference and LLMs, HTTP clients for remote models, TornadoVM for local model acceleration, avoiding premature optimization for LLM-generated code, grounding LLMs against normative Java and Jakarta EE specifications, the separation between API and SPI to eliminate hallucinations, Boundary Control Entity (BCE) structure with self-contained packages for scalable LLM code generation, maximal cohesion and minimal coupling, standards as an effective technique for LLM code generation, MDN web components and custom elements for dependency-free front-ends, reducing context and inference cost with short prompts, AIRails skills site, agents and skills across Copilot and other tools, Eclipse Collections, WebAssembly for Java with Chicory and TornadoVM, pattern matching, Java in industrial and IoT systems at ASML, Legionella water-temperature monitoring with wireless sensors, Apache IoTDB and Apache NiFi, migrating Java Advent to Roq static site generator Olimpiu Pop on twitter: @olimpiupop
When organizations review their cybersecurity posture, printers are rarely the first systems that come to mind. Yet they often account for around 20% of network endpoints while receiving, storing, processing, and transmitting sensitive business information every day. In this episode of Tech Talks Daily, I welcome back Jim LaRoe, CEO of Symphion, to discuss why printers and other connected IoT devices have become one of the most overlooked areas of enterprise cybersecurity and why AI-powered attacks are raising the stakes for organizations that continue to ignore them. Jim explains how many businesses continue to treat printers as simple office equipment rather than Linux-based network devices with privileged access to email systems, file servers, identity services, and critical business workflows. Because responsibility for these devices often sits between procurement, managed print providers, IT operations, and security teams, they can easily fall outside normal cybersecurity processes. We discuss how the threat landscape has changed over the past year as AI enables attackers to automate reconnaissance, credential theft, lateral movement, and ransomware deployment. Jim explains why organizations adopting Zero Trust principles also need to rethink how they secure and manage connected endpoints that have traditionally been overlooked. The conversation also explores certificate lifecycle management, cyber hygiene, firmware management, endpoint visibility, and why unsupported devices can introduce unnecessary risk into modern enterprise environments. For organizations managing hundreds or even thousands of printers across multiple locations, Jim explains why protecting these endpoints does not need to create additional operational burden. Instead, security should become an ongoing operational program that continuously monitors devices, detects configuration drift, applies security controls, and helps organizations maintain compliance without disrupting critical business workflows. We also discuss the governance challenge many organizations face. Before companies can reduce risk, someone needs to own it. That means establishing accountability, assigning budget, understanding which devices exist across the business, and recognizing that printers and IoT devices deserve the same attention as servers, laptops, and other managed endpoints. If you're responsible for cybersecurity, IT infrastructure, risk management, or digital transformation, this episode offers practical advice on protecting forgotten endpoints, strengthening Zero Trust strategies, improving endpoint visibility, and reducing the hidden risks that AI-powered attackers are increasingly looking to exploit. Sometimes the biggest cybersecurity vulnerability isn't the system you forgot to patch. It's the one you forgot was connected in the first place.
Checkout is getting faster, smarter, and more invisible, but the stakes feel more human than ever. We talk with Jaime Hawkins, Managing Director, North America at Ingenico, about what it takes to build technology that quietly works in the background while people stay front and center. From her roots in industrial engineering to years of client-facing operations, Jaime explains how process thinking and data analytics shaped her into a different kind of commercial leader and why one mentor's blunt advice changed the direction of her career.We also dig into what is actually powering modern commerce: not only sleek payment terminals, but platforms and open API integrations that help partners reduce complexity and build tailored point of sale experiences. Jaime shares why payments are “no longer just about taking a payment” and how merchants can turn everyday interactions into actionable intelligence, from understanding customer behavior to improving store performance and delivering personalization like loyalty snapshots and targeted offers.Trust is the thread running through everything. As embedded payments, digital wallets, automation, and even digital assets evolve, Jaime argues that innovation must move hand in hand with security and confidence or commerce starts to crack. Looking forward, we explore the shift from physical hardware to digital interactions driven by biometrics, AI, IoT, and conversational commerce, and what merchants risk losing as the checkout moment gets thinner and thinner.
Send us Fan MailThis week on Making Data Simple, join Ajay Kulkarni, CEO and co-founder of TigerData, as we dive into the rapidly evolving world of data. Ajay shares his front-row perspective on the challenges and opportunities of building and scaling time-series databases in an era of AI-driven automation.From the mechanics of managing massive data streams to the bold bets shaping the future of IoT, this conversation goes deep into what's breaking, what's working, and what's next. Whether you're a data engineer, tech leader, or simply fascinated by the speed of AI innovation, this episode is packed with insights you won't want to miss.01:15 Meet AJ Kulkarni 04:29 TigerData 07:16 Timeseries 09:25 Use Cases 11:03 Why Progress? 11:58 Why TigerData 16:05 AI is Everything 21:06 The Fastest Postgres 25:45 Advanced Features 28:53 Future of IoT 36:48 The Future of TigerData 38:03 San Francisco 38:26 A Big Bet 41:06 Good BooksLinkedIn: https://www.linkedin.com/in/ajaykulkarni/ Website: https://tigerdata.comWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
Send us Fan MailThis week on Making Data Simple, join Ajay Kulkarni, CEO and co-founder of TigerData, as we dive into the rapidly evolving world of data. Ajay shares his front-row perspective on the challenges and opportunities of building and scaling time-series databases in an era of AI-driven automation.From the mechanics of managing massive data streams to the bold bets shaping the future of IoT, this conversation goes deep into what's breaking, what's working, and what's next. Whether you're a data engineer, tech leader, or simply fascinated by the speed of AI innovation, this episode is packed with insights you won't want to miss.01:15 Meet AJ Kulkarni 04:29 TigerData 07:16 Timeseries 09:25 Use Cases 11:03 Why Progress? 11:58 Why TigerData 16:05 AI is Everything 21:06 The Fastest Postgres 25:45 Advanced Features 28:53 Future of IoT 36:48 The Future of TigerData 38:03 San Francisco 38:26 A Big Bet 41:06 Good BooksLinkedIn: https://www.linkedin.com/in/ajaykulkarni/ Website: https://tigerdata.comWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
In this episode, Sai breaks down why he deliberately chose a services business over pure SaaS, how a human-in-the-loop model creates a defensible moat in a world increasingly disrupted by Claude and ChatGPT, and why acquiring books of business from retiring CPAs is one of the most underrated go-to-market strategies nobody is talking about. He also shares the three categories of SaaS he believes will survive the AI disruption — and why everything else is in serious trouble.If you're building in a high-stakes industry or trying to compete where trust is currency, this episode is essential listening.Key Takeaways4:12 – Guest intro: Sai Dhanak — two exits, four patents, from Caribou to Latch to Deduction4:33 – What shipping early and obsessing over design taught Sai about building products people want5:35 – The connecting thread across cybersecurity, IoT, and service design patents7:00 – Seven years at Latch: What going from seed to IPO really teaches you about scale7:45 – "More money, more problems" — why lean is a feature, not a constraint8:28 – The compounding risk of bad hires at scale8:57 – What Deduction actually does: AI-native H&R Block for a fraction of the price9:33 – Real-time example: How Sai's wife emailed a charitable donation to the AI agent mid-year12:38 – The deliberate bet on services over pure SaaS — and why it was the right call14:07 – The AI SaaSpocalypse: Three types of SaaS that will survive disruption16:27 – How the human-in-the-loop model works operationally (Deduction OS)20:04 – Why Sai left Latch right after the IPO — the mental playbook he was building22:00 – The co-founder advantage: Moving faster because you already trust each other23:33 – The fractional-to-full-time hiring model that built the team efficiently25:17 – The critical fork in the road: Full-stack tax firm vs. selling software to accountants28:00 – Why the B2B SaaS tax market is flooded and the personal accountant market is fragmented29:20 – The personal accountant market: 18B, fragmented, no dominant player except H&R Block32:00 – Why TurboTax and DIY tax software are getting eaten by ChatGPT and Claude30:00 – Email as the primary channel: The internal debate and why async won31:24 – Why email is more enduring than it looks — even for Gen Z32:23 – The trust premium of human touch in an increasingly AI world36:15 – The onboarding call insight: 15 minutes with a human = customers happily working with AI37:57 – Acquiring books of business from retiring CPAs as a go-to-market engine40:57 – The referral flywheel: Emailing taylor@deduction.com directly, no app required41:25 – What Sai would do differently: Start acquiring firms sooner; build partnerships earlier43:40 – Flat architecture, "everyone is a builder," and why the 1-person company is the wrong aspiration45:36 – The most fulfilling part of building a company is always the people46:10 – The question every founder should be asking: Do you love this problem enough to work on it for 10 years?Tweetable Quotes"The most interesting opportunity in the AI era isn't building tools that replace humans. It's building businesses that use AI to make humans dramatically better — while keeping the one thing AI can't provide: trust." — Jeff Mains"AI can process the data. But it can't sign its name to it. Can't sit across from a client and take the blame when things go wrong. That's still you." — Jeff Mains"The intelligence of AI with the trust of a human. That's Deduction." — Sai Dhanak"In an ever-increasingly AI world, the human touch will have an ever-increasing premium." — Sai Dhanak"People don't want to sit in front of a chat box doing their taxes. The whole point of having an accountant is so you can go do something else." — Sai Dhanak"More money, more problems. When you're lean and scrappy, you stay focused. Raise too much capital and focus becomes exponentially harder." — Sai Dhanak"Do you love this problem enough to still be working on it in 10 years? Not the trend — the problem." — Sai Dhanak"Every founder, when asked what the highlight was, says the same thing: bringing on amazing people who are now my friends." — Sai Dhanak"Trends fade. Trust doesn't." — Jeff MainsSaaS Leadership Lessons1. The three types of SaaS that survive AI disruption Sai identified a clear framework early: the only SaaS that holds value long-term are (1) businesses with hardcore integration moats you can't vibe-code (like Stripe), (2) ledgers and systems of record that are structurally difficult to disrupt, and (3) anything that requires a human liability backstop. If your SaaS doesn't fit one of those three, it's at risk.2. The human in the loop is a competitive moat, not a limitation Rather than chasing full automation, Deduction deliberately built a model where licensed tax professionals review, verify, and sign off on AI-generated work. That signature requirement — mandated by the IRS — is baked-in defensibility. In high-stakes industries, the human backstop isn't a workaround. It's the whole product.3. Ship early, obsess over design Going back to his first company, Caribou (sold to Mattel), Sai learned two lessons that still guide him: launch before you're ready to get real feedback fast, and invest heavily in design and experience. In an AI world where anyone can build anything, experience is what differentiates.4. Lean is a feature, not a constraint After watching Latch raise hundreds of millions of dollars and experience the chaos that came with it, Sai deliberately built Deduction as a lean, flat organization. The goal isn't a one-person billion-dollar company — it's high margins with a small team that can move fast, maintain quality, and stay culturally tight. Every hire matters exponentially more in a small company.5. Choose your channel based on operational reality, not trend The decision to lead with email over chat or SMS wasn't a legacy move — it was a strategic one. Email's async nature gave Deduction manageable response windows as an early-stage company while also matching the customer expectation: "I hired an accountant so I don't have to sit and do this myself." Build for your operational reality first, then open faster channels as you can guarantee the experience.6. Acquire instead of just acquiring customers One of Deduction's most powerful go-to-market moves is buying books of business from retiring CPAs. The market for small accounting firms is fragmented and surprisingly liquid — entire websites are dedicated to the sale of these practices. Instead of competing cold for customers, Deduction inherits trusted relationships already built. It's an asymmetric growth lever that most founders never consider.Guest Resourcessai@deduction.comhttps://deduction.com/www.linkedin.com/in/saayujhttps://x.com/SaiDhanakEpisode SponsorThe Futureproof Series - https://www.youtube.com/playlist?list=PLfkXKUPZ5xuOqMPR7_gzGybncTtavyR1NThe Captain's KeysSmall Fish, Big Pond – https://smallfishbigpond.com/ Use the promo code ‘SaaSFuel'Champion Leadership Group – https://championleadership.com/https://jeffmains.com/books/SaaS Fuel ResourcesWebsite - https://championleadership.com/Jeff Mains on LinkedIn - https://www.linkedin.com/in/jeffkmains/Twitter - https://twitter.com/jeffkmainsFacebook - https://www.facebook.com/thesaasguy/Instagram - https://instagram.com/jeffkmains
In this episode, sponsored by GuardSquare (guardsquare.com), Ken Johnson and Seth Law discuss OpenAI's reported Hugging Face security incident, questioning whether the model demonstrated genuinely novel offensive capability or mostly chained known vulnerability patterns at high inference cost, while also considering the defense-contract and marketing angles around "dangerous" frontier models. The main technical discussion returns to AppSec fundamentals through an article on preventing IDOR, emphasizing authorization as a core control, the difficulty of role and tenant isolation in complex systems, and the need for framework-level patterns, typed IDs, tenant checks, and thorough authorization testing. They also cover Krebs' reporting on LG banning residential proxy SDKs from smart TV apps, explaining how free TV apps can turn consumer devices into proxy infrastructure and why IoT app ecosystems need stronger review. The episode closes with DEF CON logistics, Hacker Tracker updates, and upcoming guest plans.
Federal Tech Podcast: Listen and learn how successful companies get federal contracts
IT modernization carries unanticipated risks. Take operational technology, or OT, as an example. As modernization has increased the number of OT and IoT assets across many federal locations, it has also introduced new vulnerabilities. Federal leaders are warning that the situation has reached a tipping point. CISA maintains a growing list of vulnerabilities, and the NSA has issued warnings about OT and IoT risks. A recent SANS report indicated a 20% increase in confirmed OT attacks. To explore these challenges, we sit down with Chris Grove, Director of Cybersecurity Strategy at Nozomi Networks, to discuss the cyber-physical security challenges facing the federal government, particularly the modernization of older OT systems. He highlighted the difficulties in maintaining asset inventories, the impact of AI in both attacks and defenses, and the complexities of implementing zero trust in OT environments. During the interview, Grove addresses topics such as remote access, older technology not designed for updates, and OT devices that move around on ships and planes. Thirty years ago, "unified communication" was introduced by technology like VoIP. With the proliferation of OT devices, Grove recommends a unified security architecture. Grove emphasized the importance of resilience and the need for AI-enhanced tools to manage alerts and anomalies effectively. He also noted growing concerns about drone security and the significant workload expected to result from AI-discovered vulnerabilities.
What do you get when you combine a building with IoT, AI, and analytics?Find out as we sit down with Michael D'Angelo, Chief Revenue Officer of the Automated Group and Cybersuite X, for an insightful dive into smart buildings and how they're transforming everyday life.Throughout the episode, Michael shares how different technologies are coming together to make buildings smarter for residents and property managers. He shares the most exciting and most underestimated technologies, including AI's growing influence, cloud, and analytics. We also explore how technology can be used to transform existing spaces and key considerations for retrofitting a building.Don't miss the chance to learn how spaces are continuing to get smarter. For more information about Axis Communications, visit us at www.axis.comFollow us on social media at Axis Communications - Home | FacebookAxis Communications: My Company | LinkedInAxis North America (@Axis_NA) / TwitterAxis Communications USA - YouTube
Public Key Infrastructure (PKI) underpins nearly every secure interaction in modern IT, but it's also one of the most misunderstood and overlooked foundations of security.In this episode of Secure IT, host Jason Kikta is joined by Mark Cooper, CEO and founder of PKI Solutions, to unpack why PKI is so critical to identity, authentication, and trust, and what happens when it fails.They explore how certificates enable passwordless authentication, secure TLS connections, IoT devices, endpoints, and enterprise systems, while also examining why misconfigured or poorly monitored PKI environments often become an attacker's fastest path to privilege escalation. From certificate expirations and operational outages to real-world breach scenarios and pen test failures, this conversation maps the full PKI risk spectrum.Jason and Mark also challenge a common assumption in cybersecurity: that recovery equals resilience. Instead, they argue that true resilience means staying secure and operational, even during misconfiguration, failure, or attack.Whether you're new to PKI or responsible for running it, this episode will change how you think about identity infrastructure, resilience, and trust.Topics covered:- What PKI is and why most organizations already depend on it- Certificates, passwordless authentication, and digital identity- How PKI misconfigurations enable high-impact attacks- Why recovery is the weakest form of resilience- The hidden operational and security risks of foundational systems
What is your sleep really telling you about your long-term health? In this episode, Peggy Smedley sits down with Dr. Pierre Escourrou, Senior Medical Advisor at Withings and practicing cardiologist, to unpack groundbreaking research linking nighttime breathing patterns to arterial aging — and what that means for your cardiovascular health. They explore: How sleep apnea and snoring accelerate arterial stiffness Why a single night of sleep data leads to 20% misdiagnosis rates — and how continuous monitoring changes that The power of connected device ecosystems (IoT) over standalone wearables How AI + IoT data is shifting medicine from treatment to prevention What conditions — including hypertension, heart failure, COPD, and menopause — may be detectable years earlier using devices like the Withings Sleep Analyzer and smart scale The regulatory and insurance hurdles still standing in the way Whether you're a health tech enthusiast, a clinician, or someone who just wants to understand their sleep data better, this episode is packed with insights you won't want to miss. Learn more at withings.com
This show has been flagged as Explicit by the host. Show Notes Episode Overview Operator kicks off the episode feeling under the weather but shares a quick tip for making perfect egg drop soup before diving into his main project: diagnosing why his front-door security camera stopped sending alerts and recording events. What follows is a live-debugging session covering network config, script logging, Windows permission hacks, NTP time drift, and firmware flashing. Key Topics & Breakdown Egg Drop Soup Hack: How to get that perfect ribbony texture by creating a boiling swirl before pouring in the eggs, plus broth-to-egg ratio tips. Camera Setup & Network Config: Using static DHCP via MAC address binding on a UniFi Dream Machine (UDM) for local domain resolution instead of hardcoding IPs. Python & Cron Automation: Running a custom Python script every 2 minutes to check for new recordings, parsing logs with grep -v , and navigating massive log files in vi . Windows Troubleshooting Tangent: Deleting the stubborn Windows.old folder using the TrustedInstaller service hack ( ExecTI.exe ) instead of taking ownership manually. Time Sync & Firmware Quirks: Discovering the camera's system clock was stuck in 2011/2026, causing missed events. Downloading firmware via a slow third-party link, renaming .bin to .zip , and extracting with 7-Zip. Pre-Flash Backup Routine: Exporting camera configuration before upgrading, storing it in Google Drive for searchable documentation, and clearing old log/trigger files to reset the event pipeline. ️ Tools & Techniques Mentioned crontab + Python scripts for automated monitoring grep -v , cat , tail , and vi (line navigation with :1000 ) Obsidian for note-taking & AI assistant integration Firefox/Playwright for headless browser testing Turbo Download Manager & Bolt Media Downloader for multi-threaded/sniffing downloads 7-Zip for archive extraction Google Drive for searchable config backups Resources & Links Python API Script: Uniview IPC3628SR Recording Checker Camera Model: IPC3628SR (Uniview Wyze ISP Warm Light Deterrent Network Camera) TrustedInstaller Run-as Tool: ExecTI TrustedInstaller Runner Quick Takeaways Always verify NTP/time sync on IoT cameras before troubleshooting missed events or alerts. Use grep -v "noise" to quickly filter out repetitive log entries when debugging automation scripts. Windows system folders can be stubborn; running commands as TrustedInstaller bypasses hidden file locks without manual ownership changes. Always export and back up device configs before flashing firmware, even if the upgrade seems straightforward. Third-party download links often use temporary tokens or .bin wrappers; renaming to .zip and verifying with 7-Zip can save headaches. Thanks for listening! Stay curious, keep your logs clean, and remember: defense in depth starts at home. Example trusted installer hack # Shhhh I can't IR ... Defender, ForcePoint, SMS Agent Host ...I just can't anymore ... sc config TrustedInstaller binPath= "Reg add "HKEY_LOCAL_MACHINESYSTEMCurrentControlSetServicesSense" /v Start /t reg_dword /d 4 /f" sc start "TrustedInstaller" sc config TrustedInstaller binPath= "Reg add "HKEY_LOCAL_MACHINESYSTEMCurrentControlSetServicesFppsvc" /v Start /t reg_dword /d 4 /f" sc start "TrustedInstaller" sc config TrustedInstaller binPath= "Reg add "HKEY_LOCAL_MACHINESYSTEMCurrentControlSetServicesCcmExec" /v Start /t reg_dword /d 4 /f" sc start "TrustedInstaller" sc config TrustedInstaller binPath= "Reg add "HKEY_LOCAL_MACHINESYSTEMCurrentControlSetServicesWinDefend" /v Start /t reg_dword /d 4 /f" sc config TrustedInstaller binPath= "C:WindowsservicingTrustedInstaller.exe" Provide feedback on this episode.
None of us signed up to help train superintelligence. That's the case Don Shin, CEO of CrossComm, makes on this episode of High Octane Leadership — and it's just one of the uncomfortable ideas he brings to the table about AI.Don has spent 25 years building digital products, from Netscape-era websites to mobile apps to AI-driven platforms, and he tells Donald Thompson plainly: AI is a bigger shift than the internet ever was. Not because the technology is flashier, but because it automates judgment and decision-making, not just deterministic tasks — and it's moving faster than society has time to adjust to.The conversation covers a lot of ground: why 30,000 layoffs at a profitable Oracle are really an AI-infrastructure bet, why anxiety about AI is turning into outright resistance, and Don's case for a “token tax” — a proposal to tax the electricity and water consumption of AI data centers so the economic gains of AI don't just accrue to a handful of companies that trained their models on data none of us knowingly volunteered.Don shares the PROMPT framework, a five-part method for getting better results out of any AI tool, and a sobering warning about AI sycophancy: an assistant that never disagrees with you is not therapy, and it's not friendship either.This is a conversation about where the next five years of work, leadership, and human connection are headed — and what to do about it before the choice is made for us.Key Talking PointsThe Abundance of Intelligence — Don's framework for understanding AI as an economic shift on the scale of previous “abundance” moments in history — and why this one is moving faster than any before it.AI Anxiety Becomes AI Resistance — Why simply reassuring employees isn't enough, and what leaders actually need to offer people to bring them along.The Case for a Token Tax — Don's proposal to tax the electricity and water consumption of AI data centers, and why he believes the true cost of AI tokens is being artificially subsidized.You're Using Claude Wrong — Donald's own experience learning that an AI's first two drafts are educated guesses — and what changes once you actually train the tool on your voice and judgment.The Danger of Sycophancy — Why an AI that never disagrees with you may be a bigger risk to the next generation than job displacement.The PROMPT Framework — Don's five-part model — Persona, Request, Output, Mandatories, Priority — for getting dependable results out of any AI tool.About the GuestDon Shin is CEO of CrossComm, a digital product studio he founded as an undergraduate — building websites in the Netscape 1.1 era before leading the company through mobile apps, augmented and virtual reality, IoT, and now AI-driven development. A 25-plus year technology industry veteran and Duke University alum, Don is a sought-after speaker on artificial intelligence and its impact on business and society. He is the creator of the PROMPT framework, a practical model for effective AI prompting, and Speak To My Future Self, a personal AI reflection tool.ResourcesCrossComm: https://www.crosscomm.com/Don Shin LinkedIn: https://www.linkedin.com/in/donshin1/Donald Thompson LinkedIn: https://www.linkedin.com/in/donaldthompsonjrDonald's Newsletter & Substack: https://substack.com/@donaldthompsonjrDonald's Books: https://donaldthompson.com/books-resources/Stay connected with Donald: Get his newsletter packed with actionable insights and the kind of straight-talk leadership intelligence that helps build authority, drive performance, and stay ahead of what's coming next: donaldthompson.com. (00:00) - — Cold Open: The Data We Didn't Know We Were Giving Away (01:00) - — Welcome Don Shin, CEO of CrossComm (02:00) - — The Abundance of Intelligence: How AI Changes the Automation Equation (04:00) - — Why AI Is Bigger Than the Internet: Don's CrossComm Origin Story (06:00) - — The Velocity Problem: Why Buffer Time Matters for Economic Disruption (07:00) - — Oracle's Layoffs and the Rising Anxiety Data (08:00) - — It's Not Just AI Anxiety, It's AI Resistance (10:00) - — The Controversial Take: Game Theory and a Broken System (11:00) - — The Case for a Token Tax (13:00) - — Reddit, Data, and the Price of “Free” AI Tools (15:00) - — You're Using Claude Wrong: Donald's Lawnmower Analogy (18:00) - — Let AI Do the Routine So Teams Can Do the Remarkable (20:00) - — Why Top-Down AI Mandates Failed in 2025 (22:00) - — The Loneliness Economy: Why Therapy Is AI's #1 Use Case (23:00) - — The Danger of AI Is Sycophancy (27:00) - — Assigning a Persona: Why AI Defaults to Reassurance (28:00) - — The PROMPT Framework (31:00) - — The Next Problem: What Happens When Token Costs Explode 5–10x (34:00) - — Closing Thoughts: Lead From the Front High Octane Leadership is hosted by The Diversity Movement CEO and executive coach Donald Thompson and is a production of Earfluence.Order UNDERESTIMATED: A CEO'S UNLIKELY PATH TO SUCCESS, by Donald Thompson.
The episode highlights a structural weakness in the current cybersecurity product ecosystem, where the process of certification and lab-based product validation often fails to ensure meaningful security. The episode focuses specifically on how regulatory and certification frameworks—such as those linked to device and software security—are largely decoupled from true technical evaluation, enabling both vendors and labs to use certification badges as symbolic rather than substantive assurances of security. According to Adwait Nadkarni, this decoupling allows manufacturers to treat compliance as a liability shield, rather than as a measure of robust risk mitigation. The most consequential finding, as articulated by Adwait Nadkarni, is that many certified security products can deliberately evade both automated and human review processes, with vulnerabilities designed to look secure while quietly exposing risk. The episode references certification structures such as SOC 2 and detailed research into IoT device certification, finding that certification labs often compete on speed and convenience instead of technical rigor. This creates a situation where certified products may still contain basic, decades-old flaws, with operators and MSPs left without practical recourse when technology fails. Other related developments reinforce the risk transfer created by certification mechanisms. Vendors frequently utilize broad liability disclaimers in end-user licensing agreements, explicitly or implicitly excluding themselves from responsibility for product failures—even in scenarios involving harm or downtime. Adwait Nadkarni points to practices where smoke detectors and other security products use ambiguous language about acceptable use and warranty, further reducing vendor accountability. Labs themselves generally disclaim any responsibility for the certified products' behavior once deployed, emphasizing a system with diffuse or absent accountability. For MSPs and IT leaders, these developments underscore the need to move beyond reliance on certifications and vendor marketing. Operators should critically assess the actual language and protections embedded in contracts, focusing on enforceable liability rather than assuming technical validation from a certification badge. Absent regulatory reform or industry-wide consortia to create and uphold real minimum standards, the practical task for service providers is to minimize exposure to legal and operational risk by scrutinizing the fine print of contracts, seeking clear remedies for technology failures, and tempering trust in vendor assurances that cannot be independently verified. Supported by: GuardzCometBackup
Ajay Kulkarni grew up in tech, as his father was a tech entrepreneur selling PC's in the early 80's. He went to college in MIT, and eventually founded a startup that was acquired by GroupMe (while it was being acquired by Skype... while they were being acquired by Microsoft). He's always been attracted to building things, so startups are right up his alley. Outside of tech, he is married with 2 young kids. He is a big exercise guy... he loves to run, swim and track his steps. Additionally, he loves music - to listen, and to play guitar, piano and drums.Ajay and his co-founder met 30 years ago at MIT. They reconnected after years of doing their own thing, starting to dig into the iOT world. In doing this, they built a database because they the best solution to store this data... and in doing so, they unlocked their next venture out of this necessity.This is the creation story of Tiger Data.SponsorsUnblockedTECH DomainsMezmoBraingrid.aiLinkshttps://www.tigerdata.com/https://www.linkedin.com/in/ajaykulkarni/Our Sponsors:* Check out Cash App and use my code CASHAPP10 for a great deal: https://cash.app* Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy