Trust Issues: Securing and Governing ML/AI Systems in Production

AI and ML models have become critical business assets, but they also introduce significant security and governance challenges throughout their lifecycle. In this session, Yuval Fernbach, VP and CTO of JFrog ML, explores the real-world risks of deploying ML and AI models in production and how applying proven security and governance practices can help build trust in these systems.

What you’ll learn in this session:

  • Why trust in AI matters
  • Where security blind spots exist in ML and AI pipelines
  • Governance Gaps in AI
  • How to build a secure AI system

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