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In this episode, I sit down with Hachem Elwachem, Chief Risk and Compliance Officer at DMA i.e. Direct Medical Assistance (via Nexus.AI, which he founded), to discuss AI governance in healthcare, regulatory complexity, and how to build compliance by design. What we cover: → The fundamental difference between data governance and AI governance — "archaeology vs architecture" → Why healthcare AI has zero margin for error — and how to test for what AI should NOT do → Shadow AI and third-party risk — the two areas you can't fully control → Building compliance by design into CI/CD pipelines → The EU AI Act backtrack — why Europe lost credibility on personal data → ChatGPT Health — the convenience problem healthcare providers must address → What happens to your data rights when an LLM has already learned from your PII? → Top advice for CISOs and risk leaders in 2026 About Hachem Elwachem: 15+ years in GRC, cybersecurity, and data privacy across EY, PwC, Siemens, and Philip Morris International. Former Head of IT Assurance at PMI. Co-founder of healthcare AI startup NABED. Currently Chief Risk and Compliance Officer at DMA, building AI governance frameworks for healthcare across Europe, GCC, and Africa. Founder of Nexus AI consultancy. INSEAD alumni and mentor at SKEMA Business School. About AI GovSec Discussion Series: Practical conversations on AI security and governance with CISOs, security leaders, and industry experts. No theory. No vendor pitches. Just what's actually working — and what's not. Hosted by Aditya Chordia — AI governance and security enthusiast with 13 years in cybersecurity, IT risk, and compliance across top consulting companies and enterprise. Views expressed are personal and shared for community learning purposes only. Connect: Hachem Elwachem: https://www.linkedin.com/in/hachemelw... Aditya Chordia: / aditya-chordia-cissp-cisa-cipp-e-itil-v3-0...