Ep#248 Why Healthcare AI Agents Require Different Security Than Enterprise
Tue Jan 20 2026
Welcome to the Jon Myer Podcast, powered by Myer Media! Today we're diving into the transformative role of AI agents in healthcare and life sciences, exploring how intelligent automation is reshaping patient care, clinical workflows, and research operations in one of the most regulated and mission-critical industries.Joining us is Aaron Jeskey from PTP, a life sciences-focused AWS consulting organization with both Life Sciences and Generative AI competencies—a rare combination globally. We discuss real-world AI agent deployments happening today, from FDA submissions to novel protein generation for cancer research.Key Topics Discussed:✅ PTP's dual competencies: Life Sciences + Generative AI (top 5 globally)✅ Real use cases: IND submissions with CEO voice training✅ Novel protein generation: Training AI to discover new cancer treatments✅ Why healthcare AI requires different security than enterprise deployments✅ FDA and EMA regulations: Data protection and de-identification requirements✅ AWS Bedrock agents and healthcare-specific design patterns✅ The critical importance of generative AI policies before writing code✅ Research vs. clinical: Different risk profiles for billion-dollar ideas✅ Why over-trained LLMs hallucinate more than baseline models✅ Agentic AI validation: Continuous truth-checking against outputs✅ The jump from research to clinical: Security posture changesYouTube Timeline:0:00 - Welcome & Introduction0:42 - What is PTP and their dual competencies (Life Sciences + Gen AI)1:13 - Real-world AI agent problems being solved today2:13 - IND submissions: Training agents on CEO voice for FDA compliance3:03 - Novel protein generation: AI discovering new cancer treatments3:52 - What makes healthcare AI fundamentally different from enterprise4:46 - FDA/EMA regulations: Data protection vs. genetic data privacy5:26 - How AWS enables AI agent adoption in healthcare6:07 - First things to consider before writing code7:01 - The critical importance of organization-wide AI policies7:26 - Research vs. clinical: Different security requirements8:12 - Next evolution: Agentic AI validation and truth-checking9:36 - Why over-trained LLMs hallucinate more10:14 - Closing thoughts & thank you🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization
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Welcome to the Jon Myer Podcast, powered by Myer Media! Today we're diving into the transformative role of AI agents in healthcare and life sciences, exploring how intelligent automation is reshaping patient care, clinical workflows, and research operations in one of the most regulated and mission-critical industries.Joining us is Aaron Jeskey from PTP, a life sciences-focused AWS consulting organization with both Life Sciences and Generative AI competencies—a rare combination globally. We discuss real-world AI agent deployments happening today, from FDA submissions to novel protein generation for cancer research.Key Topics Discussed:✅ PTP's dual competencies: Life Sciences + Generative AI (top 5 globally)✅ Real use cases: IND submissions with CEO voice training✅ Novel protein generation: Training AI to discover new cancer treatments✅ Why healthcare AI requires different security than enterprise deployments✅ FDA and EMA regulations: Data protection and de-identification requirements✅ AWS Bedrock agents and healthcare-specific design patterns✅ The critical importance of generative AI policies before writing code✅ Research vs. clinical: Different risk profiles for billion-dollar ideas✅ Why over-trained LLMs hallucinate more than baseline models✅ Agentic AI validation: Continuous truth-checking against outputs✅ The jump from research to clinical: Security posture changesYouTube Timeline:0:00 - Welcome & Introduction0:42 - What is PTP and their dual competencies (Life Sciences + Gen AI)1:13 - Real-world AI agent problems being solved today2:13 - IND submissions: Training agents on CEO voice for FDA compliance3:03 - Novel protein generation: AI discovering new cancer treatments3:52 - What makes healthcare AI fundamentally different from enterprise4:46 - FDA/EMA regulations: Data protection vs. genetic data privacy5:26 - How AWS enables AI agent adoption in healthcare6:07 - First things to consider before writing code7:01 - The critical importance of organization-wide AI policies7:26 - Research vs. clinical: Different security requirements8:12 - Next evolution: Agentic AI validation and truth-checking9:36 - Why over-trained LLMs hallucinate more10:14 - Closing thoughts & thank you🔔 Don't forget to Like, Subscribe, and hit the notification 🔔 ✔ Subscribe: https://www.youtube.com/jonmyer/?sub_confirmation=1📱 Social Media Twitter: https://twitter.com/_JonMyerWebsite: https://jonmyer.comLinkedIN: https://www.linkedin.com/in/jon-myer/Spotify: https://open.spotify.com/show/0wjJzdIwctq4o4pTXM2KSFLike my sounds? Here's my audio source: https://www.epidemicsound.com/referral/fj9o9k#aws #awscloud #podcast #podcasting #costoptimization #finops #cloudcost #cloudoptimization