The Five Pillars of MLSecOps - Episode 134

Explore the critical aspects of AI security and regulation in this insightful podcast episode featuring Ian Swanson, Co-Founder and CEO of Protect AI. Delve into the five pillars of ML SecOps: supply chain vulnerabilities, model provenance, governance, risk, and compliance (GRC), trusted AI, and adversarial machine learning. Discover key differences between software development and machine learning development lifecycles, and understand the distinction between DevSecOps and ML SecOps. Learn about the risks and threats to various AI classifications, strategies for enhancing GRC practices, and the importance of ML SecOps in light of rapid AI adoption and emerging regulations. Gain valuable insights into protecting AI systems and ensuring compliance with evolving industry standards.