Implementing AI Risk Management Framework with Policy-as-Code Automation

Explore AI Risk Assessment, Compliance Assurance, and Red Teaming for AI models and pipelines deployed on Kubernetes cloud native platforms in this 35-minute conference talk. Map LinuxFoundation Trusted AI Principles to the NIST AI RMF and learn about a reusable framework for designing controls to implement these principles and requirements. Discover policy-as-code templates that enforce controls throughout the AI life cycle, and understand how to report risks and generate compliance artifacts for Privacy and Bias validation. Benefit from the expertise of experienced AI and compliance practitioners implementing red teaming and AI safety assurance using Kubernetes and CNCF open source tools. Engage with AI Subject Matter Experts who will provide feedback and suggestions on attendees' questions and scenarios, working through specific examples to enhance your understanding of AI risk management and policy automation.

Implementing AI RMF with Policy-as-Code Automation - Robert Ficcaglia, Anca Sailer & Vikas Agarwal