MLOps Masterclass: Gain end-to-end control and governance over your AI/ML Workloads

As AI adoption accelerates, DevOps and security teams face growing complexity in managing and governing AI models. Models are scattered, compliance is harder to enforce, and operational overhead continues to rise.

The new JFrog AI Catalog extends the JFrog Platform to help you simplify governance, improve visibility, and accelerate AI/ML delivery. In this session, you’ll see how to reduce friction, strengthen security, and get more value from your existing workflows.

You’ll learn how to:

  • Gain centralized visibility over all AI models across environments
  • Apply policies to enforce governance and block risky models
  • Simplify workflows with one-click model access and deployment
  • Enable DevOps and Security to collaborate around a shared source of truth

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