The Hidden Risks in AI/ML Supply Chains - How To Secure Your Workloads

Explore the critical security vulnerabilities lurking within AI/ML supply chains and learn how to protect your Kubernetes workloads from sophisticated attacks in this 33-minute conference talk from the Cloud Native Computing Foundation. Discover how AI models can be compromised before deployment through data poisoning, model tampering, and malicious dependencies that can silently undermine trust in your systems. Examine the complete AI/ML supply chain lifecycle to understand where vulnerabilities emerge and how the threat landscape continues to evolve. Gain practical knowledge about implementing security measures including Software Bills of Materials (SBOMs), model cards, and specialized tools designed to ensure transparency and integrity of AI/ML models within Kubernetes environments. Learn actionable strategies to fortify your AI/ML workflows against supply chain attacks and establish robust security practices that protect your organization's machine learning infrastructure from emerging threats.