Governing Agentic AI at Scale on Google Cloud with JFrog

June 30, 2026 | 8:30 AM PT | 17:30 CET

Coding agents are moving fast, but ungoverned AI assets are creating a security blind spot most teams don't see until it's too late. Every new AI asset your coding agents or developers want to pull — model, MCP, skill, or plugin — needs to be reviewed, and without automated policy enforcement, that review becomes a bottleneck that stalls delivery or gets bypassed entirely.

Join JFrog and Google Cloud to learn how teams in regulated and high-scale environments are closing the governance gap, enabling developer velocity without sacrificing security or control.

In this webinar, you'll learn:

• Why governance is the real bottleneck: How the explosion of third-party AI assets is creating supply chain risk, shadow AI, and over-privileged agent access — and why traditional security approaches aren't built to handle it.
• How JFrog AI Catalog works: How automated policy enforcement, tool-level permissions, and coding agents' native self-serve access let developers move fast within guardrails that security teams can trust.
• Enterprise-grade AI— why it matters: How agentic workflows are evolving beyond individual tasks to link entire value chains — and how to ensure your teams are building on enterprise-grade AI with the right guardrails, terms of service, and governance when agents are talking to agents in production.
• Governing agents in regulated industries: What secure agent deployment looks like in financial services, healthcare, and other highly regulated environments where the stakes of ungoverned AI are highest.
• How JFrog and Gemini Enterprise work together: Runtime governance meets supply chain governance, closing the full agent lifecycle from build to deployment.

 Guy Eshet

Senior Manager of Product, JFrog ML

 Kasia Ciesielska-Faber

Field CTO, Principal Industry Architect | Google Cloud