About this episode

This episode explores the limitations of traditional risk management in the context of AI and offers strategies for building a resilient risk program.

Checking compliance boxes isn't enough - real AI risk management starts where compliance ends. As enterprises rapidly scale artificial intelligence across production pipelines, traditional IT risk management models are hitting their absolute limits. In this forward-looking masterclass episode, InfosecTrain contrasts conventional risk frameworks against the unpredictable, non-deterministic realities of machine learning systems. The "course titled" AI Governance and Risk Management Training serves as an indispensable roadmap for modern defenders facing this evolution. We step away from static software asset checklists to analyze live threat vectors like data poisoning, model degradation, and complex prompt injections. Discover how to build a resilient, multi-layered risk program from scratch, map out accountability boundaries, and align your enterprise defense directly with practical frameworks like the NIST AI Risk Management Framework (RMF). 📘 What You’ll Learn: The Risk Paradigm Shift: Why the fluid, evolving behavior of artificial intelligence renders traditional, linear risk matrices obsolete. Building from Scratch: Establishing a practical, adaptable AI risk…

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