Healthcare AI Fails at the Data Layer: Privacy, Governance & Trust | Sid Dutta

The Hidden Reason Hospital AI Keeps Failing | Angel Mena

Send us Fan Mail [https://www.buzzsprout.com/2550733/fan_mail/new] The Hidden Reason Hospital AI Keeps Failing | Angel Mena Everyone's chasing the AI demo. Almost nobody's fixing the process underneath it. In this episode, Chris sits down with Angel Mena, Chief Medical Officer at Symplr and former primary care physician and residency program director, to unpack why most AI pilots in healthcare stall — and why "layering AI on top of a broken process" just makes the broken process faster. Angel and Chris get into why hospital pilots so often fail to scale, the governance bottlenecks that can stall a good idea for months (legal, compliance, and risk all included), who actually needs to be in the room before a CMIO signs off on a big implementation, and why clinicians are rarely asked what they actually need before a new tool gets built for them. They also talk about ambient AI's real impact on documentation and "pajama time," and where AI is already delivering results in production — not just in a pilot. About Angel Mena: Angel Mena is an internal medicine physician and former residency program director who spent over a decade at Tri Health and helped build one of the first cloud clinical communication platforms at Halo Health. He's now Chief Medical Officer at Symplr, overseeing the operational backbone of healthcare — credentialing, scheduling, workforce, and compliance. In this episode: * Why most AI pilots fail to scale * The governance bottleneck: legal, compliance, and clinical sign-off * Who needs to be in the room before a CMIO signs off * Ambient AI and its real effect on physician burnout * Where AI is already working in production, not just in pilots * Building a shared governance framework across clinical, IT, and operations Connect with Angel Mena: LinkedIn: https://www.linkedin.com/in/angeljmenamd/ Symplr: https://www.linkedin.com/company/symplr/ Connect with The Signal Room: Linkedin: https://www.linkedin.com/in/chutchins-healthcare/ Yt: https://www.youtube.com/@SignalRoomPodcast Support the show [https://www.buzzsprout.com/2550733/support] About The Signal Room: The Signal Room is a podcast and communications platform exploring leadership, ethics, and innovation in healthcare and artificial intelligence. Hosted by Christopher Hutchins, Founder and CEO of Hutchins Data Strategy Consultants. Leadership, ethics, and innovation, amplified. Website: https://www.hutchinsdatastrategy.com  LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/  YouTube: https://www.youtube.com/@ChrisHutchinsAi Book Chris to speak:  https://www.chrisjhutchins.com

Why AI Agents Are Healthcare's Next Biggest Security Risk | Pranava Adduri

Send us Fan Mail [https://www.buzzsprout.com/2550733/fan_mail/new] WHY AI AGENTS ARE HEALTHCARE'S NEXT BIGGEST SECURITY RISK (WITH PRANAVA ADDURI) Generative AI is changing how the medical world works—but it is also completely rewriting the cyber threat landscape. When a security breach happens to a traditional business, it impacts revenue. When a data breach happens to a hospital system, people's lives are actively at stake. In this episode of The Signal Room, host Chris Hutchins sits down with Pranava Adduri, Co-Founder and CTO of Bedrock Data, to uncover a major operational blindspot: the dangerous gap between deploying autonomous AI agents and maintaining strict data governance. Pranava explains why the defensive advantage of AI tools is only temporary, how "helpful" AI agents inadvertently create massive security leaks, and why healthcare leaders must stop trying to build unreachable networks and instead adopt a radical new mindset: learn to get better at being breached. Key Takeaways From This Episode: * The AI Agent Judgment Gap: Why AI agents trying to get a job done will bypass security parameters (like creating hidden, shared data folders) because they lack human ethical judgment. * The "Scary Forest" of Permissions: How privileged access and credentials drift over time, and why letting an unchecked AI agent act with full user permissions creates a catastrophic blast radius. * Data-First Threat Modeling: How identifying your top five most critical data assets and working backward is the fastest way to harden a clinical environment. * Open Source vs. Frontier Labs: Why advanced adversarial AI capabilities are catching up quickly, making AI-assisted cyber attacks more frequent and sophisticated. Chapter Markers & Timestamps: * 0:00 — Introduction: Why healthcare data security is a matter of life and death. * 1:45 — Meet Pranava Adduri and the mission behind Bedrock Data. * 3:11 — How medical ransomware differs from standard enterprise cyber attacks. * 4:32 — The hidden threat landscape: What leaders miss when deploying GenAI. * 6:55 — Do defenders actually hold the long-term AI capability advantage? * 9:35 — Flipping the playbook: Why organizations must "get better at being breached." * 12:22 — Beyond honeypots: Restructuring network access and minimizing data footprints. * 14:38 — Why clinical settings give broad access to AI agents (and why it backfires). * 19:37 — Exposing the false sense of security around hosted cloud environments. * 23:55 — Reining in the "scary forest" of privileged access drift. * 27:30 — The #1 critical cybersecurity takeaway for healthcare CEOs and tech leaders. * 29:13 — Where to follow Bedrock Data and wrap-up. About Our Guest: Pranava Adduri is an expert in data infrastructure and security compliance. He was a founding engineer at Rubrik, where he focused heavily on ransomware defense and backup recovery. He later scaled data risk and compliance lines at AWS past $200 million in revenue, working directly with Fortune 500 CISOs. Today, he is an Entrepreneur in Residence at Greylock and the Co-Founder and CTO of Bedrock Data, an advanced data security and governance platform built explicitly for the AI era. Resources & Links Mentioned: * Visit the Bedrock Data Website: bedrockdata.ai [https://bedrockdata.ai] * Connect with Pranava Adduri: https://www.linkedin.com/in/padduri/ [https://www.linkedin.com] * Explore More Episodes: https://www.youtube.com/@SignalRoomPodcast [https://www.signalroompodcast.com] Support the show [https://www.buzzsprout.com/2550733/support] About The Signal Room: The Signal Room is a podcast and communications platform exploring leadership, ethics, and innovation in healthcare and artificial intelligence. Hosted by Christopher Hutchins, Founder and CEO of Hutchins Data Strategy Consultants. Leadership, ethics, and innovation, amplified. Website: https://www.hutchinsdatastrategy.com  LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/  YouTube: https://www.youtube.com/@ChrisHutchinsAi Book Chris to speak:  https://www.chrisjhutchins.com

AI Security Risk: The Massive Mistake Companies Make | Cyber Security Expert Aaron Puckett

Send us Fan Mail [https://www.buzzsprout.com/2550733/fan_mail/new] Is your organization’s data secretly floating around on the public web? In this episode of The Signal Room, host Chris Hutchins dives deep into the operational layer of AI risk with cybersecurity expert Aaron Puckett, Executive Vice President at Managed Services Group. Many corporate boards think they are protected because they signed off on an official AI policy. But as Aaron explains, a paper policy means absolutely nothing without infrastructure-level technical controls. We break down the exact mechanics of "Shadow AI", revealing how well-meaning employees are accidentally leaking sensitive company data and Protected Health Information (PHI) directly into public models like ChatGPT. If you are a business leader, CISO, or operational executive, this episode is a critical manual on how to lock down your data before a massive security breach occurs. Inside This Episode, You’ll Learn: * The Anatomy of a ChatGPT Leak: What literally happens to your proprietary information the millisecond an employee pastes it into a public chatbot. * The Illusion of Compliance: Why writing an AI policy is the easy part, but proving your security posture to SOC 2, HIPAA, or cyber insurance auditors is where companies fail. * AI vs. AI Warfare: How threat actors use artificial intelligence to compress cyber attack timelines from hours down to milliseconds. * The First Line of Defense: Why data hygiene, conditional access, and Multi-Factor Authentication (MFA) must be prioritized before deploying any enterprise AI tools. Key Moments & Chapters: * 00:00 - The multi-million dollar mistake boards make with AI risk. * 09:07 - Policy vs. Reality: Why your corporate AI framework might be empty. * 17:03 - Technical guardrails: Setting up real Data Loss Prevention (DLP). * 24:55 - The Shadow AI nightmare: How employees bypass your security. * 32:38 - MFA and Identity Posture: Your first line of cyber defense. * 44:44 - The first question every operator must ask their IT team this week. Connect with the Guest: * Guest: Aaron Puckett, Executive Vice President * Company: Managed Services Group (MSG) * Website: msgrouponline.com [https://msgrouponline.com] * LinkedIn: https://www.linkedin.com/in/aaronwpuckett Enjoyed this episode? Make sure to hit follow, leave a 5-star review, and share this episode with an executive or IT professional who needs to secure their data infrastructure today! Support the show [https://www.buzzsprout.com/2550733/support] About The Signal Room: The Signal Room is a podcast and communications platform exploring leadership, ethics, and innovation in healthcare and artificial intelligence. Hosted by Christopher Hutchins, Founder and CEO of Hutchins Data Strategy Consultants. Leadership, ethics, and innovation, amplified. Website: https://www.hutchinsdatastrategy.com  LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/  YouTube: https://www.youtube.com/@ChrisHutchinsAi Book Chris to speak:  https://www.chrisjhutchins.com

Why "Academic" AI Models Fail the 3 AM Real-World Stress Test

Send us Fan Mail [https://www.buzzsprout.com/2550733/fan_mail/new] Why "Academic" AI Models Fail the 3 AM Real-World Stress Test What happens when pristine corporate AI benchmarks collide with the messy realities of the frontline at 3:00 AM? In this episode of The Signal Room, emergency physician and AI red-teamer Dr. Omer Atli joins host Chris to expose why enterprise-grade AI models frequently collapse in resource-constrained environments. If your organization is relying on theoretical AI safety protocols, or ignoring the unapproved "Shadow Formulary" already operating inside your building, this conversation is an essential guide to corporate governance, liability mitigation, and reality-aware product architecture. EPISODE TIMESTAMPS * 00:00 – The 3 AM benchmark vs. the 3 PM academic lab * 02:15 – Why theoretical AI fails operational edge cases * 06:30 – The "Shadow Formulary": Unmanaged AI in your organization tonight * 09:45 – Hallucinations vs. Lethal Omissions: The true liability shift * 15:20 – Designing "Resource-Aware" software for critical environments * 21:10 – Modern CISO Governance: Transitioning from bans to live controls * 27:45 – The Clinical Safety Officer: Who owns your digital risk? STRATEGIC TAKEAWAYS FOR LEADER-BOARDROOMS * Prohibition Fails Corporate Governance: Frontline staff, operators, and clinicians are already using consumer-grade AI models (ChatGPT, Claude, Gemini) out of their pockets to solve immediate problems. Banning these tools simply drives "Shadow IT" deeper underground, creating unmapped compliance failures and massive legal liabilities. * The Rise of Lethal Omissions: The ultimate liability risk isn't a blatant AI hallucination—it’s a lethal omission. Advanced models successfully identify complex problems but drop the critical, context-dependent next steps. For executives, this creates an invisible malpractice risk that standard evaluation frameworks miss entirely. * Software Must Be "Resource-Aware": AI cannot safely optimize an action if it is blind to the physical operating environment infrastructure infrastructure. True enterprise AI must be built to survive the absolute hardest edge cases first—because if a system works where resources are thinnest, it will work seamlessly anywhere. CONNECT WITH THE SHOW & GUEST * Dr. Omer Atli on LinkedIn: https://www.linkedin.com/in/dromeratli/ * Dr. Omer Atli's Website: omeratli.com * The Signal Room Website: signalroompodcast.com * Follow us on LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/ If today's conversation sparked an idea, challenge, or perspective worth amplifying, please leave a review and subscribe to stay ahead of enterprise AI risk. Support the show [https://www.buzzsprout.com/2550733/support] About The Signal Room: The Signal Room is a podcast and communications platform exploring leadership, ethics, and innovation in healthcare and artificial intelligence. Hosted by Christopher Hutchins, Founder and CEO of Hutchins Data Strategy Consultants. Leadership, ethics, and innovation, amplified. Website: https://www.hutchinsdatastrategy.com  LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/  YouTube: https://www.youtube.com/@ChrisHutchinsAi Book Chris to speak:  https://www.chrisjhutchins.com

Ex-Intelligence Officer: 80% Of Legal Work Could Be Done By AI | Bennett B. Borden

Send us Fan Mail [https://www.buzzsprout.com/2550733/fan_mail/new] Before he was advising boards on AI strategy, Bennett Bordon spent eight years as a U.S. intelligence analyst, then went to law school, then earned a graduate degree in data analytics. That cross-disciplinary background eventually led him to analyze a decade of billing data from 14,000 attorneys, and conclude that roughly 80% of what lawyers do today is better done by AI. Bordon is now the founder and CEO of Clarion AI Partners, a boutique firm that advises companies on AI governance, risk, and strategy while also building the AI systems themselves. In this conversation with host Chris, he breaks down: * Why he left a top-10 law firm to build Clarion instead of trying to "turn the Titanic" on the billable hour *  The "Iron Man, not Terminator" framework for thinking about AI and human work * How the legal concept of reasonableness — what did you identify, what did you do about it, can you prove it — keeps companies defensible in an unsettled regulatory landscape * Why 80% of AI adoption is a psychological and change-management problem, not a technology problem * How AI governance committees go wrong when they're owned entirely by tech, compliance, or the business alone * The work Clarion does on child safety, access to justice, and public policy as AI scales globally A wide-ranging look at what it actually takes to deploy AI responsibly, from the boardroom down to the workflow level. Find Bennett Bordon at clarionaipartners.com or on LinkedIn. LinkedIn: https://www.linkedin.com/in/bennett-borden/ Website: https://clarionai.com/ Find Us on: Youtube: https://www.youtube.com/@SignalRoomPodcast LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/ Support the show [https://www.buzzsprout.com/2550733/support] About The Signal Room: The Signal Room is a podcast and communications platform exploring leadership, ethics, and innovation in healthcare and artificial intelligence. Hosted by Christopher Hutchins, Founder and CEO of Hutchins Data Strategy Consultants. Leadership, ethics, and innovation, amplified. Website: https://www.hutchinsdatastrategy.com  LinkedIn: https://www.linkedin.com/in/chutchins-healthcare/  YouTube: https://www.youtube.com/@ChrisHutchinsAi Book Chris to speak:  https://www.chrisjhutchins.com