AI coding agents are already writing code and resolving dependencies in your pipeline. But with most agents acting without supply chain context, policy governance, or audit trails, you immediately risk breaking DevSecOps workflows.

In this session, JFrog shows you how to take full control of your agents by giving them the context, control, and governance they need to act securely without slowing them down.

You’ll discover how to:

- Get full visibility into what your agents did and why

- Let agents automate DevSecOps lifecycle tasks using natural language while staying in-policy

- Ensure every tool and skill an agent uses is verified, governed, and logged by default

- Govern agent access through JFrog’s centralized Skills and MCP Registry

Whether you're already running agents in production or exploring where to start, this session shows you what secure, auditable agentic delivery looks like in practice.