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Fifty-seven percent of employees are reportedly using AI tools without telling their employer. In this episode, the Prescriptive Data Solutions team draws the line between harmless personal AI use and the moment it becomes shadow AI, and explains why the old "just block it" approach to IT security keeps failing.In the words of John Parker: "I don't consider that shadow AI until you decide to use it for work."Most of them aren't doing anything malicious. They're just trying to get the job done faster, and AI happens to be the easiest tool on hand.That distinction matters more than most security policies account for. You can't block your way out of this problem. You can only build guardrails people don't feel the need to work around.
I don't know if Anthropic, OpenAI, or Google have really spent a lot of time and effort on security around their models. I know they talk about it (Anthropic, OpenAI, Google), but in practice, I'm not sure the researchers and testers are being as careful as the marketing and management of those companies want you to think. Gemini broke into three companies during a security test. Claude escaped a test environment and breached three organizations. OpenAI had breaches of Hugging Face and other sites, so perhaps this is the most powerful model, as it exceeded the "rule of three." In all these cases, the agents weren't doing anything amazing. These were acting the same as most malicious or bored human hackers who might find or guess credentials and take advantage of them. In some sense, this points to the generally poor state of security in the world. Read the rest of Smart AI Agents and Data Security
Gugs Mhlungu speaks with Dr. Mark Nasila, Chief Data and Analytics Officer - FNB AI Strategy, about recent incidents involving AI models accessing systems and attempting cyber-attacks, what this means for AI safety, and how these risks can be managed. Thank you for listening to a podcast from 702 Weekend Breakfast with Gugs Mhlungu. Listen live on Primedia+ on Saturdays and Sundays from 06:00 and 10:00 (SA Time) to Weekend Breakfast with Gugs Mhlungu broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/u3Sf7Zy or find all the catch-up podcasts here https://buff.ly/BIXS7AL Subscribe to the 702 daily and weekly newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702See omnystudio.com/listener for privacy information.
Ask your team where your company's sensitive data actually lives. Not where it should be. Where it is.Most leaders can't answer that with confidence, and it's not because anyone did anything wrong. It's because the tools we use today move data faster than any policy can track.In this episode of Business Brains and the Bottom Line, Terry Murray, John Parker, Joe Galvan, and Mark Alexander from Prescriptive Data Solutions break down why data security posture management has become urgent again, and how AI accelerated a problem that's been building for years.A few things worth sitting with:The gap between where data should live and where it actually lives is bigger than most leadership teams realizeNot every dataset needs the same protection. Classification comes before controlAI didn't create this risk. It just moved faster than the guardrails could keep up
Plus: AI biotech firm Enveda doubles valuation to $2 billion. And Finnish drone maker Sensofusion seeks $344 million in Helsinki IPO. Danny Lewis hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
280 | Das Cybercab kommt! Welche Businesses entstehen jetzt?Partner dieser Folge:HolviDas beste Geschäftskonto für Teams mit HOLVI - und das für 0€ mit HOLVI Flex. Klick hier und mach deine Finanzen einfacher.Mach das 1-minütige Quiz und finde eine Geschäftsidee, die zu dir passt: digitaleoptimisten.de/quiz. Mich erreichst du unter alexander@digitaleoptimisten.deKapitel(00:00) Intro(01:20) Bringt AI uns alle um? AI Slop Grenades vllt.(21:22) Tesla Cybercab (33:23) Alex' erste Geschäftsidee ist jetzt im Y Combinator(37:12) Apple Watch hört immer zu und das iPhone ist faltbar(50:15) Geschäftsidee von Alex: Lesestapel(56:07) Geschäftsidee von Samuel: UpgradSo erreichst du uns:Sprachnachricht senden: https://www.speakpipe.com/digitaleoptimistenEmail schreiben: alexander@digitaleoptimisten.deLearningsRealistische AI-Beurteilung statt HypeDie Diskussion zeigt eine Spannbreite zwischen Katastrophenwarnungen und nüchternem Realismus; die Wahrheit gilt als grau. Für Gründer bedeutet das, statt reinen Hype zu glauben, eine systematische Szenarien-Planung zu nutzen. Empfohlen ist es, Baseline-, Upside- und Risikoszenarien zu erstellen, Budgets konservativ zu planen und regulatorische Entwicklungen im Blick zu behalten.Corporate Upskilling als MarktIn der Folge wird Upgrade als achtwöchiges Vorbereitungs- und Leveling-up-Programm beschrieben, um Juniors AI-Kompetenzen aufzubauen. Das Angebot richtet sich explizit an große Corporates, also B2B, mit Preisrahmen von 5.000 bis 10.000 Euro pro Graduate; Vor-Ort-Trainer sind möglich. Implementierung umfasst neben Transfer-Inhalten auch Standards zu Data Security sowie Tools wie NNMAKE und Zapier, um Prozesse aufzusetzen.Autonome Mobilität verändert InfrastrukturHypothese: Robo-Taxis könnten langfristig zu einer großen geteilten Fahrzeugflotte führen, die außerhalb der Städte operiert und Ladeinfrastruktur erfordert. Chancen liegen in neuen Park- und Ladestationen sowie in einem Shared-Modell statt individuellem Fahrzeugbesitz. Preisgestaltung, Wartung, Reinigung und Regulierung bestimmen, ob dieses Modell Bahn/ÖPNV ergänzt oder ersetzt.Lesestapel: Von Tabs zum physischen MagazinDie Idee Lesestapel wandelt digitale Lesezeichen aus Browser-Tabs in ein monatliches Magazin um; es gibt zwei Angebotsstufen: digitales PDF/App vs. gedrucktes Hardcover. Wichtig: Urheberrechtsfragen stehen noch offen; der Print-Ansatz kann Marketingeffekt erhöhen, daher könnte Druck zuerst sinnvoll sein. Umsetzung erfordert eine klare Content-Quelle, Rechteklärung und eine passende Abonnentenstruktur.Keywordsautonomes FahrenTesla CyberCabAnthropic KIApple Vision ProiPhone Duowie verändert autonomes Fahren ÖPNV und Bahnverkehrauswirkungen KI auf Arbeitsmarkt und Jobsregulatorische hürden für Frontier KI Labskamerabasierte selbstfahrende Modelle vs LiDARfoldable iPhone Duo vs Vision Pro marktvorsprungHype Cycle KIDoomsday Szenarien KITry Nearby Influencer MarketingJourneyman Unicorn IdeasUpgrade Corporate Weiterbildung
On today's show Andrew and Bill look at several dimensions of the PRC's approach to AI. First: The various reasons a push for an agreement with U.S. labs to “pace” AI development is unlikely to bear fruit and the history of the CPC's approach to control over technology. Then: The head of the MSS offers a view into CPC concerns around political security risks and data risks, while Anthropic CEO Dario Amodei proposes a misguided framework for forcing Chinese compliance with a slowdown agreement. From there: The U.S. reiterates its complaints about Chinese companies conducting “industrial-scale” distillation of U.S. AI models, while Anthropic suggests sensitive PRC data was shared with Claude. At the end: A law broadening exit bans goes live, the New York Times reports Chinese social media “getting dark,” while the Wall Street Journal highlights an influencer scandal captivating netizens.
See what the team at The Successful Bookkeeper has on right now → If you have ever wondered what it actually looks like to build AI into your accounting practice — not in theory, but day-to-day — this episode is for you. Sam Leon, CPA and founder of TaxWeave, joined guest host Louie Prosperity to share exactly how he went from experimenting with ChatGPT to building his own secure AI platform for tax professionals. The conversation is practical, honest about the risks, and full of ideas you can act on right away. Chapters [00:00] Introduction and Sam's Background [02:45] Why Sam Chose Claude Over Others [06:30] Claude Code: Beyond Just Chatting [09:30] Workflow Automation for Bookkeepers [12:30] The Data Security Problem [16:30] Building TaxWeave as a Secure Platform [20:00] Top AI Tasks to Tackle First [24:00] Keeping Up as AI Models Evolve [26:30] How Sam Checks His AI Outputs [28:30] Where to Find Sam and TaxWeave Here's a special gift for YOU. Visit Plooto.com/TSB and try it for FREE for two months! That's a FREE 30-day trial, plus an extra free month for Successful Bookkeeper podcast listeners! Don't miss out, sign up TODAY! From Curiosity to Real Workflows Sam has been watching technology waves roll through the accounting profession for years — cryptocurrency, machine learning, practice management software. When AI chatbots arrived, he started testing them immediately, but it was a specific feature of Claude that changed how he worked: the ability to connect the tool directly to files on his computer. "That's how I got started with a lot of the more time-saving workflows that I was doing," he explains. The shift from chatting with AI to feeding it real documents opened the door to genuine time savings rather than novelty. The Tasks Best Suited for Automation Sam is direct about where AI earns its keep: document summarization, transaction categorization, and building QuickBooks rules. He recently spoke with a bookkeeper who used AI to generate an extensive list of transaction rules that could be imported straight into QuickBooks — a task that would have taken hours to build manually. His broader advice is to start with tasks that are data-heavy and repeatable, then layer AI on top of the tools you already use rather than replacing them outright. Handling Sensitive Data the Right Way This is where Sam slows down and gets careful, and so should you. For tax professionals in the US, IRS Code Section 7216 governs what client information can be shared with third-party systems — and most AI platforms have not yet been through the kind of SOC 2 certification process that established tax software has. Sam's personal rule: never upload anything containing Social Security numbers, EINs, or last names. For bookkeeping work, he sees a slightly lower barrier since transaction lists are often less personally identifying, but the principle holds. "Being more cautious than not — if you're unsure about it, probably take another step to make sure that information really doesn't have any personal identifying information on it." Upgrading to a Teams or Business plan on these platforms also adds a layer of data protection over personal accounts. Building TaxWeave: From Workaround to Platform The manual redaction problem — using Adobe to black out client details before running documents through AI — was slow and error-prone. That frustration pushed Sam to start building TaxWeave, a platform designed to handle the redaction automatically inside a secure environment, then run AI workflows on the cleaned documents. He built the initial prototype using Claude Code, which lets you describe what you want in plain language and generates the underlying code. "The barrier where you had to understand how to do that — it's removing that," he says. TaxWeave currently focuses on tax practice project management and client organization, with AI workflow integration being the layer built on top. Keeping Up as the Models Keep Changing AI models update constantly, and Sam's advice is to treat your workflows the same way you treat your engagement letters — review them periodically and adjust. He recommends using the Projects feature in Claude to maintain context across sessions, and revisiting your saved instructions whenever a new model version drops. You can even ask the AI itself what needs updating. For quality control, Sam still does his own research to verify AI-generated answers and checks outputs manually, paying attention over time to where the tool is weakest. "You can start to see what it's weaker on — what kind of things does it always miss — and what you can start trusting it with." Links Mentioned TaxWeave: taxweave.ai Sam Leon on LinkedIn: search Samuel Leon CPA Claude (Anthropic): claude.ai PureBookkeeping: purebookkeeping.com Pluto (sponsor): pluto.com/tsb About the Guest Sam Leon is a CPA with 14 years of experience in tax accounting, specializing in corporate tax, startup tax issues, R&D credits, and individual returns. After building his solo firm, The Millennial CPA, he was recognized in the 2026 Accounting Today Best Firms for Technology Awards. He is currently developing TaxWeave, an AI-powered platform built specifically for tax practices, and is active in conversations across the profession about safe, practical uses of AI in accounting.
AI, privacy, digital footprints, and trust take center stage as Walter Harrison explains the hidden data economy, while Dave reflects on 9/11, voting, and political fatigue.
Working Therapeutically with Adult Adoptees - Planning Ahead for Placements In Episode 382 of the Counselling Tutor Podcast, your hosts Rory Lees-Oakes and Ken Kelly take us through this week's three topics: Firstly, in ‘Ethical, Sustainable Practice', they explore data security in the BACP Ethical Framework 2026 - looking at what the new framework requires, why it matters, and how practitioners can protect client information across their practice. Then in ‘Practice Matters', Rory speaks with Alison Letlow about working therapeutically with adult adoptees - exploring adoption as a lifelong experience and the attachment, identity, and loss issues that can arise in therapy. And finally in ‘Student Services', Rory and Ken discuss planning ahead for placements - examining timing, mindset, and practical tips for securing a counselling placement, with insights from Sarah Henry. Data security in the BACP Ethical Framework 2026 [starts at 03:47 mins] In this section, Rory and Ken explore the new data security in the BACP Ethical Framework 2026 coming into force in November and what its requirements around data security mean for everyday practice. Key points discussed include: The 2026 framework makes data security a visible part of ethical practice, connecting confidentiality, safety, competence, transparency, informed consent, record keeping, and accountability. Practitioners must be able to explain what client information is held, where it goes, who can access it, how it is protected, and what happens if something goes wrong. Modern practice creates a large data trail - enquiry forms, emails, texts, booking systems, payments, and notes - all of which must be stored securely and lawfully. Practitioners must know where their data is stored and comply with the laws of that jurisdiction, as accountability remains with the counsellor even when using third-party or AI tools. Informed consent must be explained and recorded before entering client data into any tool or platform, with clients free to withdraw consent at any time. A practical first step is to map the client data journey - listing every place where client information is created, copied, viewed, transmitted, or stored, including less obvious tools such as calendars and appointment reminders. Working Therapeutically with Adult Adoptees [starts at 37:57 mins] In this week's ‘Practice Matters', Rory speaks with Alison Letlow about her CPD lecture on working therapeutically with adult adoptees and what therapists need to understand when supporting adults exploring their experiences of adoption. Key points from this conversation include: Adoption is a lifelong experience whose meaning can change at every developmental stage, often surfacing around life transitions such as adolescence, relationships, or becoming a parent. Adoptees may carry a deep sense of loss and unresolved grief, sometimes pre-verbal, which can be hard to acknowledge when adoption is viewed through a ‘rose-coloured' lens. Internalised beliefs of being unwanted, along with shame and rejection sensitivity, can be brought into and worked through in the therapeutic relationship. Therapists need to be steady and consistent, aware of their own attachment style, and mindful of what the client may activate in them, working closely with supervision. Questions of identity, genetics, and cultural heritage can be significant, particularly for those who are transculturally or transracially adopted, and may lead to an ongoing search for self. Adoption-competent practice includes being trauma-informed, understanding the core issues in adoption, and using somatic and creative methods such as therapeutic letters and rituals. Planning Ahead for Placements [starts at 01:03:20 mins] In this section, Rory and Ken discuss planning ahead for a counselling placement, joined by Sarah Henry, exploring the timing, mindset, and practical steps involved in securing one. Key points include: Most counselling and psychotherapy training requires a minimum of 100 supervised placement hours, so planning ahead is essential. Timing is crucial - placements often begin recruiting in October and November, so starting to look early gives students a valuable head start. The responsibility for finding a placement rests with the student, helping to develop the independence, resilience, and self-motivation the role requires. Volunteering at a relevant organisation is an excellent way to learn its culture, get known, and build a route towards a placement. Practical tips include asking your tutor for approved organisations, searching local charities, using Facebook groups, and looking a little further afield. Mindset matters - approaching placement hunting with tenacity and persistence, while choosing a setting that matches your values and the clients you want to work with. Links and Resources Counselling Skills Academy Advanced Certificate in Counselling Supervision Basic Counselling Skills: A Student Guide Counsellor CPD Counselling Study Resource Counselling Theory in Practice: A Student Guide Counselling Tutor Training and CPD Facebook group Website Online and Telephone Counselling: A Practitioner's Guide Online and Telephone Counselling Course
As AI adoption continues to accelerate, how can organisations maintain control of their data, infrastructure, and AI strategy? Sovereign AI is rapidly moving from planning and discussions to practical implementation, making it more important than ever for IT decision-makers to understand what it is and how it works. So, what does it take to deploy sovereign AI effectively while maintaining control, meeting compliance requirements, and protecting valuable data? This week, Technology Now is joined by Trish Damkroger, SVP & GM, HPC & AI, to find out: What sovereign AI looks like in 2026, and how it can be achievedThe five imperatives that organisations must consider when implementing sovereign AIWhy an effective AI strategy must come before decisions are made
Vivek Vaidya of super{set} joins Nick to discuss AI Cost Structures and Pricing, Proprietary Data Sets That Create Moats, and a Clear Method for Determining Which Problem to Solve First. In this episode we cover: Challenges and Considerations in Selling Companies Building Companies and the Importance of Selling Ahead Navigating AI-Native Products and Cost Structures Valuation and Pricing of AI Companies Data as a Moat in the AI Era Distinguishing Between Frontier Labs and Startups Open Source and Data Security in AI Products Guest Links: Vivek's LinkedIn Vivek's X super{set}'s LinkedIn super{set}'s Website The host of The Full Ratchet is Nick Moran of New Stack Ventures, a venture capital firm committed to investing in founders outside of the Bay Area. We're proud to partner with Ramp, the modern finance automation platform. Book a demo and get $150—no strings attached. Want to keep up to date with The Full Ratchet? Follow us on social. You can learn more about New Stack Ventures by visiting our LinkedIn and Twitter.
Could your organization produce a complete record of everything its AI systems accessed, sent, or shared within one business day? In this episode of Tech Talks Daily, I welcome Tim Freestone, Chief Strategy Officer at Kiteworks, back to the podcast for his third appearance. Our conversation centers on the company's 2026 Data Security and Compliance Risk Annual Survey and the difference between buying security technology and being able to demonstrate that sensitive data is properly controlled. According to the Kiteworks research supplied for this interview, 80 percent of surveyed organizations experienced at least one security or AI related incident during the previous 12 months. Half could not produce a complete AI data access audit record within one business day. The strongest group recorded an average readiness score of 46 out of 100, while organizations with weaker security and AI governance averaged eight. Even the higher score leaves considerable room for improvement. Tim argues that technology spending can produce a larger version of the same exposure when a company lacks the people, ownership, and operating model needed to manage what it has purchased. Network, cloud, and infrastructure security still matter, but the business ultimately needs to understand what is happening at the data layer. Which identities can access a system? What actions can they take? Which records can they read, change, send, or share? We discuss why this has become harder as employees create large numbers of AI agents. A company may have 1,000 people and tens of thousands of nonhuman identities, each requiring permissions and oversight. Tim describes three connected control planes covering identity, actions, and data. Together, they offer leaders a practical way to assess whether an agent can reach information it should never see or perform an action it was never meant to take. The conversation also examines audit evidence. Tim says businesses should map regulated data types to the controls governing their use and then connect those controls with reporting. Without that connection, answering an auditor may require months of work, large consulting bills, and teams manually assembling records from disconnected systems. Ownership remains difficult because security, compliance, infrastructure, and data governance teams often work separately. Tim's view is that the CEO must orchestrate responsibility when the board is asking AI to produce higher productivity while the same systems create new data risk. That position may feel demanding, but it exposes an issue many leadership teams still need to settle: who owns the consequences when an AI agent exposes or transforms sensitive information? For board members, Tim offers two direct tests. Ask for a clear account of the company's data controls, then ask who is responsible for the associated risk. If those answers require a long explanation or several departments pointing at one another, the readiness score may matter less than the inability to demonstrate control. How quickly could your organization show who or what touched sensitive data, and who would be accountable if the record were incomplete? Listen to the episode and share your thoughts.
Send us Fan MailNonprofits are adopting AI fast, but governance, data controls and human judgment determine whether experimentation becomes real organizational value. AI governance is becoming a business necessity as organizations move rapidly from experimenting with AI to using it throughout finance, fundraising, communications, and operations. But adoption is racing ahead of strategy and that creates a very different challenge for nonprofit leaders!Patricia Bueso, Client Services Technology Adoption Manager at Your Part-Time Controller (YPTC), joined us during Nonprofit Power Week to explain how nonprofits can turn AI experimentation into trusted organizational capability.One statistic frames the issue: Patricia cites research indicating that 92% of nonprofits are already using or experimenting with AI, yet only 7% are using it in meaningful, impactful ways. That suggests the next competitive advantage isn't simply adopting another AI tool. It's knowing where AI adds value, where it creates risk, and where human judgment must remain firmly in control.Patricia recommends beginning with actual workflows. Identify potential AI use cases across departments, then evaluate each according to effort, value and risk. Ask one deceptively simple question: “What happens if the AI is wrong?”Low-risk applications may include brainstorming, outlines, email rewrites and meeting summaries. Risk rises when AI begins influencing financial analysis, donor segmentation or organizational decisions.The conversation also moves squarely into data governance. Where is organizational data stored? How long does a vendor retain it? What happens after a subscription ends? Who has reviewed the security configuration? Patricia recommends examining standards such as SOC 2 and involving IT or technologically knowledgeable board members when appropriate.Perhaps the clearest operating principle comes from YPTC: “Guidelines help protect the adventurous and reassure the cautious.”Governance doesn't have to mean stopping innovation. It means establishing guardrails so people can use AI confidently!Key Takeaways:Evaluate AI at the workflow level—not as one enormous organization-wide problem.Rate AI use cases by effort, business value and potential risk.Distinguish low-, medium- and high-risk AI based on consequences for decisions, people, money and reputation.Know where vendor-held data goes, how it is secured and what happens to it after termination.Create AI guidelines defining what is encouraged, what requires approval and what is off limits.Treat staff training and human judgment as essential parts of AI governance.00:00:00 Adopting AI You Can Actually Trust 00:03:47 The 92% vs. 7% Nonprofit AI Gap 00:05:20 Start With Workflows, Not AI Tools 00:07:27 What Happens When AI Is Wrong? 00:08:02 Low, Medium and High AI Risk 00:10:46 Human Judgment Is the Essential Control 00:12:50 Where Does Your Nonprofit's Data Go? 00:15:00 AI Configuration, SOC 2 and Data Security 00:17:10 Questions to Ask Before Trusting an AI Vendor 00:20:40 What Nonprofits Can Actually Control 00:21:49 Governance Before Technology 00:24:51 Training Staff to Use AI Confidently 00:26:44 AI Should Support Judgment—Not Replace It #NonprofitAI #TheNonprofitShowFind us Live daily on YouTube!Find us Live daily on LinkedIn!Find us Live daily on X: @Nonprofit_ShowOur national co-hosts and amazing guests discuss management, money and missions of nonprofits! 12:30pm ET 11:30am CT 10:30am MT 9:30am PTSend us your ideas for Show Guests or Topics: HelpDesk@AmericanNonprofitAcademy.comVisit us on the web:The Nonprofit Show
A SEAT at THE TABLE: Leadership, Innovation & Vision for a New Era
Episode SummaryOn this episode of A Seat at the Table, Jane Singer welcomes Susan Kargel founder of Brute Mitigator and a leading expert in freight forwarding, customs clearance, trade compliance, and operational resiliency. Together, they tackle the increasing complexity of global supply chains, rising risks—especially from cyberattacks—and the rapidly evolving landscape of customs regulations. The episode explores best practices for business continuity, building redundancy, leveraging AI (and recognizing its limits), and practical ways logistics and supply chain professionals can prepare for an era of exponential change.Key Points1. The New Era of Supply Chain RiskThe rise in disruptions: tariffs, cyberattacks, natural disasters, technology outages, and their extensive impact on logistics and customs operations (Jane Singer, Susan Kargel at 00:00:00).Why compliance is now "at the table"—and why it's crucial to integrate customs and trade teams into resilience planning (00:01:37).Common misunderstandings among leadership about supply chain resilience and the oversimplification of business continuity planning (00:02:19).2. Moving Beyond Basic Business Continuity PlansGaps in standard business continuity planning: lack of detailed processes for operational recovery after technology failures (00:02:50).The essential role of cross-functional planning—engaging leadership, IT, HR, compliance, and operations to identify and prioritize critical functions, define restoration priorities, and establish clear communication channels (00:06:21).Importance of "fire drills" and scenario planning to transform contingency procedures from paper plans into instinctive, actionable responses (00:08:26).3. Building Redundancy in Customs & Logistics OperationsReal-world supply chain continuity: using hybrid models of in-house and third-party customs brokerage to avoid single points of failure (00:13:03).How documentation, data sharing, and vendor relationships can serve as insurance policies to minimize business disruption (00:14:08, 00:16:02).The risk of losing "tribal knowledge" of manual processes—why documenting old workarounds is essential as experienced staff retire (00:18:20).4. Dealing with the Surge in Customs ComplexityRapidly changing tariffs and enforcement: impact on U.S. importers and the need for up-to-date, validated documentation (00:19:39).Why accurate classification, valuation, and country-of-origin tracing are more vital than ever in the face of stricter enforcement and whistleblower incentives (00:22:42).The compounding cost of errors, from penalties to demurrage and delayed shipments (00:25:22, 00:26:02).5. AI, Automation & the Human Factor in Customs and LogisticsThe promise of AI: improving efficiency in customs declaration processing, document handling, and inventory management (00:28:38).Using machine learning to extract data from documents, reduce manual entry, and highlight discrepancies (00:29:40).Risks: overreliance on AI can erode process knowledge and may propagate errors if not audited by subject matter experts (00:31:19, 00:36:17).Security considerations: understanding data privacy, AI data usage, and toggling off default data sharing settings (00:33:09).Legal responsibility for errors: customs will not accept "AI made the mistake"—final accountability remains with the company (00:35:37, 00:36:44).6. Building Team Resilience - Tools & TrainingThe value of structured, practical training for logistics teams—building bench strength, team alignment, and documentation of both digital and manual contingencies (00:41:41).Highlights from Susan Kargel's online courses: templates, guides, communication plans, business-critical function assessment, crisis workshops (00:41:41–00:43:04).Actionable TakeawaysIntegrate functional leaders with IT in resilience planning—Business units know operational priorities; IT needs these priorities to restore systems effectively.Develop and test crisis communication plans—Repeated, hands-on scenario drills ("fire drills") prepare teams for actual disruptions.Build redundancy in customs processing—Consider hybrid approaches, ensure data is shareable and workflows are documented, not siloed.Stay current on customs regulations and enforcement—Assign resources to monitor changes, audit classification and valuation, and document every step.Embrace AI with caution—Use it to automate repetitive tasks but maintain human oversight for accuracy, compliance, and documentation.Document manual workarounds—Prevent knowledge loss as experienced staff retire, especially for reverting to manual processes during crises.Invest in training—Equip teams to understand both technical and manual aspects of operations for true resilience.Notable Quotes"[Compliance is] at the table now. That's very exciting." (Susan Kargel 00:01:48)"If your system goes down... there's no online system to process it. You're going to have to go find another declaration processing system." (Susan Kargel 00:04:36)"Just because you use AI, if there's a mistake, you can't tell customs, 'Oh, I used AI and it told me that.' You're still responsible for the outcome." (Susan Kargel 00:35:37)"You want to kind of control your own destiny and you need your providers too. But both can help each other." (Susan Kargel 00:15:35)"Build knowledge, build strength, build teamwork—just things that companies should have." (Susan Kargel 00:43:40)Resources & Further LearningBrute Mitigator online courses – logistics team resilience, crisis planning, and customs compliance (link in show notes)U.S. Federal Register and Customs Bulletins—stay updated on regulatory changesIndustry trade associations and customs broker webinars for ongoing learningAbout the SpeakersSusan Kargel is the founder of Brute Mitigator and brings 40 years of experience in global logistics, customs, and compliance, specializing in preparing supply chains for operational disruptions and cyber threats.Jane Singer is the host of A Seat at the Table, focused on what's working, what's not and best practices in business, supply chain, and leadership. She is also managing director of 'Inside Fashion', a platform for apparel industry information and 'The Current Situation in Sourcing', a quarterly market intelligence report for C-suite apparel brand leadership.Learn more about BruteMitigator: https://www.brutemitigator.comSEND US A MESSAGEVisit A Seat at The Table's website at https://seat.fm
Plus: Redwire taps SpaceX's Starfall ship for pharma mission. And Datadog warns of lower usage by major AI customer. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
In this session of UC Today, host Kristian McCann sits down with Simon Peters, Director of Channel Sales at Smarsh, to unpack one of the most pressing questions facing regulated industries in 2026: Is your compliance solution really secure — and is its AI even compliant?It's a wake-up call for compliance, risk, and IT leaders who assume ticking the compliance box equals airtight data protection. As global fines for compliance and data breaches continue to climb — including over $63 million in penalties in early 2025 alone — this conversation exposes the two blind spots most organizations still overlook.Peters explains how compliance and security aren't interchangeable, why third-party AI models can create new compliance gaps, and how Smarsh has built “compliant AI by architecture” — keeping all data, transcripts, and analysis inside customers' own sovereign environments.Key discussion points include:
In this final episode of the Events Demystified seven-year anniversary miniseries, host Anca Platon Trifan explains that “shadow AI” is often ordinary employees using tools like ChatGPT, Copilot, Gemini, Claude, or browser extensions to work faster, unintentionally creating data paths outside company controls. She argues shadow AI reflects both employee responsibility and leadership gaps, citing Verizon's 2026 DBIR data on rising AI use, unauthorized services, and common exposed data types like source code. The episode covers AI security best practices: clear data classification with real examples (especially for events), minimum-necessary data sharing, risks from extensions and excessive agent permissions, the need for limited autonomy, auditability, a kill switch, vendor and integration due diligence, transparent monitoring, and safe incident reporting. Trifan shares a Bill.com virtual card fraud experience and closes with questions leaders should ask and a podcast break until September.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - Piööc wël path thooŋ English ku bï yïïn ya jam ee Kuɛ̈ɛ̈n, ŋiëc tɔu wël ku gëlgël wël yiɛ̈nhdu. Cuthcuth yic wël wen ye laac luöi yic ku bï yïn jam kä diir yïïn, ku kuɛ̈ny ke wääc yiic ku jaämic ye kada bi wël käk tɔu ke ci ŋiëëc tɔɔu.Keep practising the phrases from this episode and test what you've learned with our quiz here. - Keep practising the phrases from this episode and test what you've learned with our quiz here.
AI Applied: Covering AI News, Interviews and Tools - ChatGPT, Midjourney, Runway, Poe, Anthropic
Conor and Jaeden explore the debate surrounding open-weight and open-source AI models, focusing on Anthropic's lobbying activities and the competitive pressure from international AI companies.Watch on YouTube: https://youtu.be/vkZyFedYDqQGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesJaeden's AI Business Community: https://www.skool.com/aihustleChapters00:00 Introduction to Open Weight and Open Source Models00:29 Anthropic's Stance and Industry Perception01:26 Anthropic's Market Entry and Safety Focus01:43 Difference Between Open Source and Open Weight Models02:10 Current Trends in Open Source AI03:03 Industry Lobbying Against Open Weight Models03:31 Distillation Attacks and Industry Concerns04:24 Industry Perspectives on AI Regulation05:18 Dario Amade's Clarification on AI Bans05:46 Risks and Industry Dynamics07:13 Cost Savings and Industry Threats08:14 Anthropic's Growth and Industry Position09:04 Incentives and Industry Competition09:57 The Cult of Personality in AI10:23 Dario Amade's Industry Influence11:18 Risks of Open Source Models12:18 Data Security and Third-Party Integrations13:17 Chinese and Open Source Models in the Market14:10 Economic Impact of Cheaper AI Models15:06 Adoption and Future Trends in AI15:51 Closing Remarks and Industry Outlook See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - សិក្សាភាសាអង់គ្លេសដែលមានប្រយោជន៍សម្រាប់ការនិយាយអំពី ការធ្វើជំរឿន សុវត្ថិភាពទិន្នន័យ និងការការពារព័ត៌មានផ្ទាល់ខ្លួន។ អនុវត្តឃ្លាប្រចាំថ្ងៃសម្រាប់បង្ហាញការព្រួយបារម្ភ ការពន្យល់អំពីហានិភ័យ និងការនិយាយអំពីរបៀបដែលទិន្នន័យត្រូវបានរក្សាទុកឱ្យមានសុវត្ថិភាព។Keep practising the phrases from this episode and test what you've learned with our quiz here. - Keep practising the phrases from this episode and test what you've learned with our quiz here.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - Ku baro Ingiirisi sida looga hadlo ama looga sheekeysto tirokoobka (Cenus) iyo sida loo xafido xogta. Ku tabo-baro erayo iyo weedho loo isticmaalo, walaaca aad ka qabi karto tiro-koobka, qeexidda waxyaalaha khaldami kara iyo sida xogta/macluumaadka qofka loo xafido.Keep practising the phrases from this episode and test what you've learned with our quiz here. - Keep practising the phrases from this episode and test what you've learned with our quiz here.
Practise speaking the dialogue from episode #114 Talking about the Census and data security. - 讓我們一同練習上星期在第 114 集學會的詞彙。Find the full episode, learning notes and more free resources at SBS Learn English. - 在 SBS Learn English 網站,可以找到完整節目、學習筆記和更多免費資源。
Practise speaking the dialogue from episode #114 Talking about the Census and data security. - 지난주 에피소드 114: 센서스와 데이터 보안에 대해 이야기하기 (중급)를 위한 보너스 연습 대화입니다.Find the full episode, learning notes and more free resources at SBS Learn English. - SBS Learn English에서 전체 에피소드, 학습 노트 및 기타 무료 자료를 확인해 보세요.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - 国勢調査、データセキュリティ、そして個人情報の保護に関する便利な英語を学びましょう。不安や懸念、リスク、そしてデータが保管方法について話す際に使えるフレーズを勉強します。Keep practising the phrases from this episode and test what you've learned with our quiz here. - SBSの日本語放送は火木金の午後1時からSBS3で生放送!火木土の夜10時からはおやすみ前にSBS1で再放送が聞けます。SBS日本語放送ポッドキャストから過去のストーリーを聞くこともできます。無料でダウンロードできるSBS Audio Appもどうぞ。SBS 日本語放送のFacebookとInstagramもお忘れなく。
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - Pelajari bahasa Inggris yang berguna untuk membahas Sensus, keamanan data, dan perlindungan informasi pribadi. Mari berlatih menggunakan ungkapan sehari-hari untuk menyampaikan kekhawatiran, menjelaskan risiko, serta membahas bagaimana terjaganya keamanan data.Keep practising the phrases from this episode and test what you've learned with our quiz here. - Keep practising the phrases from this episode and test what you've learned with our quiz here.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - در این قسمت انگلیسی موردنیاز برای صحبت درباره سرشماری، امنیت اطلاعات و محافظت از اطلاعات شخصی را یاد بگیرید و عبارتهای کاربردی روزمره برای ابراز نگرانی، توضیح دادن خطرات و صحبت درباره نحوه حفظ امنیت اطلاعات را تمرین کنید.Keep practising the phrases from this episode and test what you've learned with our quiz here. - برنامه فارسی رادیو اسبیاس در روزهای شنبه و سه شنبه ساعت ۳ بعد از ظهر از طریق رادیو، به صورت آنلاین، کانال شماره ۳۰۲ تلویزیونهای دیجیتال و از طریق اپ رایگان SBS Audio قابل دسترس است. برای شنیدن برنامه های زنده و پادکست های ما اپ SBS Audio را از APP Store یا Google Play دانلود کنید. همچنین می توانید به اس بی اس فارسی از طریق اسپاتیفای، یا اپل پادکستز گوش کنید.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - تعلّم عبارات إنجليزية مفيدة للتحدّث عن التعداد السكاني، وأمان البيانات، وحماية المعلومات الشخصية. وتمرّن على استخدام جمل يومية للتعبير عن القلق، وشرح المخاطر، والتحدّث عن كيفية الحفاظ على أمان البيانات.Keep practising the phrases from this episode and test what you've learned with our quiz here. - Keep practising the phrases from this episode and test what you've learned with our quiz here.
Practise speaking the dialogue from episode #114 Talking about the Census and data security. - تدرّب على التحدّث من خلال حوار الحلقة #114: التحدّث عن التعداد السكاني وأمان البيانات.Find the full episode, learning notes and more free resources at SBS Learn English. - Find the full episode, learning notes and more free resources at SBS Learn English.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - 學習用英文討論人口普查、資料保安及保障個人私隱。練習日常英語,表達對資料安全的關注、解釋潛在風險,以及如何保障個人資料。Keep practising the phrases from this episode and test what you've learned with our quiz here. - 繼續練習今集學到的實用英語,再完成以下小測驗,看看自己掌握了多少。
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - Milu relnak, pumpak konglam le thil a biapi mi pawl him tein kilvelnak he a pehtlaimi biafang le biatlang hman khawh nak pawl kan cawn mi rak ngai ve.Keep practising the phrases from this episode and test what you've learned with our quiz here. - Keep practising the phrases from this episode and test what you've learned with our quiz here.
Practise speaking the dialogue from episode #114 Talking about the Census and data security. - Cawnnak #114 milu relnak le thil a biapi mi him tein kilvennak chim le rel tikah hman khawh mi biafang le biatlang pawl rak cawng ve.Find the full episode, learning notes and more free resources at SBS Learn English. - Find the full episode, learning notes and more free resources at SBS Learn English.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - Навчіться впевнено говорити та дізнайтеся корисні слова, вислови й словосполучення на тему голосування та виборів, а також про виборчу систему Австралії.Keep practising the phrases from this episode and test what you've learned with our quiz here. - Після прослуховування перевірте свої знання за допомогою нашого тесту: ТУТ.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - 센서스, 데이터 보안, 개인정보 보호에 대해 이야기하는 데 유용한 영어 표현을 배워보세요. 우려를 표하고, 위험 요소를 설명하며, 데이터가 어떻게 안전하게 관리되는지에 대해 이야기하는 데 필요한 일상적인 표현을 연습해 보세요.Keep practising the phrases from this episode and test what you've learned with our quiz here. - 이번 에피소드의 표현들을 계속 연습하고, 퀴즈를 통해 배운 내용을 확인해 보세요.
Practise speaking the dialogue from episode #114 Talking about the Census and data security. - 通过本期播客,跟着第114集《聊聊人口普查和数据安全》一起开口练练对话吧!Find the full episode, learning notes and more free resources at SBS Learn English. - Find the full episode, learning notes and more free resources at SBS Learn English.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - 学习与人口普查、数据安全和个人信息保护相关的实用英语。练习日常表达,学习如何表达担忧、解释潜在风险,以及谈论数据如何得到安全保护。Keep practising the phrases from this episode and test what you've learned with our quiz here. - 在YouTube、Apple Podcasts或Spotify搜索播客名“SBS学英语”,学习新的英文表达方式、更了解澳大利亚文化。
Practise speaking the dialogue from episode #114 Talking about the Census and data security. - Xyaum siv tej lus thiab tej sob lus ntawm toom sob kawm 114 uas tham txog kev txheeb pej xeem thiab kev ruaj ntseg rau tej xov xwm coj los sib tham.Find the full episode, learning notes and more free resources at SBS Learn English. - Txheeb tau toom sob kawm txwm, thiab tej ntaub ntawv uas siv tau dawb ntawm SBS Learn English.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - Học tiếng Anh hữu ích để nói về điều tra dân số, bảo mật dữ liệu và bảo vệ thông tin cá nhân. Thực hành các cụm từ thông dụng hàng ngày để bày tỏ sự lo ngại, giải thích rủi ro và nói về cách dữ liệu được bảo vệ an toàn.Keep practising the phrases from this episode and test what you've learned with our quiz here. - Keep practising the phrases from this episode and test what you've learned with our quiz here.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - Узнайте фразы для обсуждения переписи населения, безопасности данных и защиты личной информации. Попробуйте фразы для выражения обеспокоенности, объяснения рисков и обсуждения способов обеспечения безопасности данных.Keep practising the phrases from this episode and test what you've learned with our quiz here. - Практикуйте фразы из этого эпизода и проверьте свои знания с помощью квиза здесь.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - در این قسمت از مجموعه درسهای انگلیسی اسبیاس، یاد بگیرید که چگونه میتوانید درباره سرشماری، مصوونیت معلومات و حفاظت از معلومات شخصی صحبت کنید.Keep practising the phrases from this episode and test what you've learned with our quiz here. -
Practise speaking the dialogue from episode #114 Talking about the Census and data security. - Practise speaking the dialogue from episode #114 Talking about the Census and data security.Find the full episode, learning notes and more free resources at SBS Learn English. - Find the full episode, learning notes and more free resources at SBS Learn English.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - SBS Learn English ће вам помоћи да говорите, разумете и будете блискији свом окружењу у Аустралији. Ова лекција намењена је људима са средњим нивоом знања енглеског језика. Након слушања, проверите своје знање помоћу нашег квиза. У овој епизоди научите како да разговарате о попису становништва, сигурности података и заштити личних информација.Keep practising the phrases from this episode and test what you've learned with our quiz here. - For more stories, interviews, and news from SBS SERBIAN, explore our podcast collection here.Keep practising the phrases from this episode and test what you've learned with our quiz here.
Learn English useful for talking about the Census, data security, and protecting personal information. Practise everyday phrases for expressing concern, explaining risks, and talking about how data is kept safe. - د اګسټ په ۱۱مه نېټه په اسټرالیا کې سرشمېرنه ترسره کېږي. د انګلیسي ژبې په دې پوډکاسټ کې د سرشمېرنې، د معلوماتو د امنیت او شخصي معلوماتو د خوندي ساتنې په اړه خبرې کول زده کړئ.Keep practising the phrases from this episode and test what you've learned with our quiz here. -
What happens when a longtime facility manager steps beyond the built environment to help reshape it through technology? In this episode of Connected FM, host Brent Ward welcomes Billy Holder, Founder & CEO at Project Aidra, for a conversation about digital transformation, AI and the evolving role of facility management in a technology-driven world. Drawing from nearly 30 years of experience in facility management, Billy shares how recurring operational frustrations led him from the FM field into the PropTech space. He discusses why documentation overload, disconnected systems and inefficient workflows pushed him to search for smarter solutions powered by AI and automation. The conversation explores how facility managers can use technology to augment the workforce instead of replacing it, why human connection still matters in smart buildings, and what organizations should consider when evaluating PropTech platforms and AI-enabled tools. Whether you are a facility manager navigating digital transformation or simply curious about where the built environment is headed next, this episode offers practical insights into the future of FM and the people shaping it. This episode is sponsored by SiteMap®, powered by GPRS. Learn more at sitemap.com/ifma Timestamps: 00:00 Introduction 03:37 Documentation Pain Points 05:31 Winning Tech Buy In 07:15 AI As Workforce Boost 08:57 Human Metrics Matter 12:19 PropTech Stack Essentials 16:14 Training Next Gen FMs 18:55 ESG Reality Check 23:29 The Beautiful Mess Story 27:08 Hidden Wins Of Adoption 29:41 FM In Five Years 30:50 Start Small Advice 32:04 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
AI is reshaping innovation as businesses embed it into core operations and move more processes online. This transformation is often seen as a tradeoff between innovation and data risk, but that assumption is wrong. Businesses can innovate and scale in the AI era while maintaining strong data security, ensuring protection, compliance, and control remain intact. Segment Resources: Check out these assets from Fortra for more information around Data Security for AI. Learn more about our Data Security suite: https://www.fortra.com/solutions/data-protection Get the ungated guide: Secure AI Innovation > https://www.fortra.com/resources/guides/secure-ai-innovation Read the blog: Staying Compliant While Using AI: What CISOs Need to Know https://www.fortra.com/blog/staying-compliant-while-using-ai-what-cisos-need-know This segment is sponsored by Fortra. Visit https://securityweekly.com/fortra to learn more about them! In the leadership and communications segment, Lost in translation: Cybersecurity board reporting for CISOs, AI may finally unlock the cyber budgets CISOs have wanted for years, How People Actually Get to the C-Suite in S&P 500 Companies, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-451
AI is reshaping innovation as businesses embed it into core operations and move more processes online. This transformation is often seen as a tradeoff between innovation and data risk, but that assumption is wrong. Businesses can innovate and scale in the AI era while maintaining strong data security, ensuring protection, compliance, and control remain intact. Segment Resources: Check out these assets from Fortra for more information around Data Security for AI. Learn more about our Data Security suite: https://www.fortra.com/solutions/data-protection Get the ungated guide: Secure AI Innovation > https://www.fortra.com/resources/guides/secure-ai-innovation Read the blog: Staying Compliant While Using AI: What CISOs Need to Know https://www.fortra.com/blog/staying-compliant-while-using-ai-what-cisos-need-know This segment is sponsored by Fortra. Visit https://securityweekly.com/fortra to learn more about them! In the leadership and communications segment, Lost in translation: Cybersecurity board reporting for CISOs, AI may finally unlock the cyber budgets CISOs have wanted for years, How People Actually Get to the C-Suite in S&P 500 Companies, and more! Show Notes: https://securityweekly.com/bsw-451
Colorectal cancer is now the #1 cancer killer in Americans under 50 — and roughly 60% of cases are diagnosed at stage III or IV. What if your toilet could spot the earliest sign years before symptoms?Robert Lufkin MD sits down with Scott Hickle, co-founder and CEO of Throne Science, to talk about the first AI-powered smart toilet — a hands-free, daily monitor that detects fecal occult blood, tracks gut microbiome shifts, measures hydration and prostate health via sonouroflowmetry, and uses AI to coach behavior change. We unpack why your waste is the richest health signal you currently ignore, the Warren Buffett car-sensor analogy for continuous health monitoring, the 46% hemorrhoid risk from phone use on the toilet, and Throne's 10-year vision to be the first alarm system for cancer.CHAPTERS00:00 — Introduction01:14 — Meet Scott Hickle: From Mechanical Engineer to Smart Toilet CEO03:00 — How a Call With His Mom Sparked the Throne Idea05:02 — Why Your Waste Is the Richest Health Signal You Ignore07:02 — How Modern Plumbing Made Stool Analysis Taboo10:02 — Fecal Occult Blood: The Earliest Sign of Colorectal Cancer13:02 — Why Colorectal Cancer Is Now the #1 Cancer Killer Under 5014:30 — The Warren Buffett Car Sensor Analogy for Continuous Health Monitoring16:03 — Throne vs Gut Microbiome Tests: A CGM for Your Gut18:03 — Stress Is the #1 Driver of Gut Health (And Other Self-Experiments)22:04 — The 46% Hemorrhoid Risk From Phone Use on the Toilet24:04 — How the Throne Hardware and AI Software Actually Work27:00 — Sonouroflowmetry: Measuring Prostate Health From the Sound of Your Pee29:05 — Privacy, Data Security, and Camera Placement31:05 — Medical Advisors, Clinical Studies, and FDA Pathway34:06 — The AI Gut Health Coach and Behavior Change37:06 — The 10-Year Vision: A First Alarm System for Cancer40:07 — Where to Pre-Order Throne (thronescience.com)KEY TAKEAWAYSColorectal cancer is the only top-five cancer whose mortality has risen every year since 2005 — and it's now the #1 cancer killer in Americans under 50.Polyps take 7–10 years to become tumors. Colorectal cancer is one of the few cancers we know how to cure before it becomes cancer — but only 3–6% of people return the at-home FIT test.Visible blood in stool requires 40,000–50,000 µg of hemoglobin per gram. The FIT test detects 10–20 µg/g — about 8,000× more sensitive than what your eye can see.A single bleed could be a hemorrhoid or food poisoning. A monotonic four-to-six-month rising trend is the pattern that signals colorectal cancer — and you can only see patterns with continuous monitoring.Stress is the #1 driver of gut health in Scott's own n=1 self-experiments — bigger than any food, supplement, or fiber intervention he's tried.Sitting on the toilet with a phone for more than 5 minutes is associated with a 46% increased risk of hemorrhoids (Inan et al., PLOS One 2025).STUDIES & SOURCES MENTIONEDAmerican Cancer Society / JAMA, January 2026 — Cancer mortality decline under 50 — https://pressroom.cancer.org/under-50-mortality-declinesInan et al., PLOS One 2025 — Smartphone use on the toilet and hemorrhoid risk — https://pubmed.ncbi.nlm.nih.gov/40901789/Scott Hickle, TEDxBoston — "The History and Power of Poop" — https://www.youtube.com/watch?v=v42gznW6cuADr. David Rubin, MD, University of Chicago (Throne medical advisor) — ⭐ Enjoying the show? Please leave a 5-star review on Apple Podcasts — it takes 30 seconds and helps more people discover the science of health and longevity. Thank you!New episodes every Tuesday & Thursday. Subscribe so you don't miss one.Continue this conversation on Substack: https://robertlufkinmd.substack.comLies I Taught In Medical School — Free sample chapter: https://www.robertlufkinmd.com/lies/Web: https://www.robertlufkinmd.comYouTube: https://www.youtube.com/robertlufkinmdX: https://x.com/robertlufkinmdInstagram: https://www.instagram.com/robertlufkinmd/TikTok: https://www.tiktok.com/@robertlufkinLinkedIn: https://www.linkedin.com/in/robertlufkinmd/
Security magazine takes a look at 7 data security stories from this month.
Our Data Security Policy Is Transparent in That It Doesn't Exist All links and images can be found on CISO Series This week's episode is hosted by David Spark, producer of CISO Series, and Mike Johnson, CISO, Rivian. Joining is Mike Melo, CISO, TMX Group. In this episode: The weight of old controls Data you can actually see 68 vendors and counting Authority you never had to claim A huge thanks to our sponsor, Vanta Still stuck on the quarterly audit treadmill? Meet Calm-pliance. Vanta combines compliance, risk, and proof on one Agentic Trust Platform—and continuously monitors your controls, keeping you audit-ready all year round. Find your Calm-pliance here.
The race for AI dominance has created a dangerous imbalance between business velocity and cyber resilience. In this episode, host Caleb Tolin is joined by Joe Hladik, Head of Rubrik Zero Labs, and Staff Security Researcher Amit Malik to break down the findings of their latest report on agentic adoption. The discussion centers on the Agentic Paradox. This is the technical reality that tools designed to automate high-level tasks are inherently built to find the most efficient path around obstacles, including existing security policies. A primary focus is implementing a three-layer framework for AI Operations. This model targets the Tool Layer, where agents interact with databases; the Cognitive Layer, which serves as the LLM brain; and the critical Identity Layer. The conversation explores stories in which agents, without malicious intent, have caused catastrophic data loss simply by following an optimized logic path. These instances prove that agents need not be sentient to be destructive when they lack proper human-in-the-loop checkpoints. Technical hurdles of Identity Resilience are also addressed, specifically the explosion of non-human identities that spin up and down like elastic cloud infrastructure. The episode examines the fear index regarding job security, noting that 92% of leaders fear for their roles post-breach. Joe and Amit join Caleb to explore the evolution of personal liability for CISOs and the urgent need to move from basic visibility to deep observability. This is a forward-looking briefing for leaders who recognize that, in an era of autonomous routines, the human must remain the ultimate command-and-control center. What You'll Learn Define the agentic paradox to understand why AI efficiency naturally compromises traditional security guardrails. Implement a three-layer framework to secure the tool, cognitive, and identity components of AI. Transition from basic visibility to deep observability to track autonomous decision-making in real time. Mitigate prompt injection risks by auditing the input and output flows of the cognitive layer. Utilize ephemeral containers to sandbox agentic tools and prevent unauthorized database alterations. Manage the elasticity of non-human identities to maintain control over rapidly spinning AI agents. Anchor AI operations with human-in-the-loop checkpoints to ensure integrity during high-stakes executions. Episode Highlights Defining the Agentic Identity and Autonomous Routines Revenue vs. Resilience: The Drivers of AI Urgency The Three-Layer Framework for Agentic Defense Shadow AI and the Rise of Invisible Insider Threats The Context Gap: Why Rolling Back AI Actions is Hard The CISO Fear Index and Personal Liability Post-Breach Visibility vs. Observability in Elastic Identity Environments Learn more about your ad choices. Visit megaphone.fm/adchoices