AI agents are quickly moving from experimentation to production. But while adoption is accelerating, enterprise control is not. Traditional governance models—static policies, keyword filters, manual reviews—were never designed for systems that act autonomously, operate at machine speed, interpret and generate natural language, and interact across multiple systems.
The result is a growing gap between agent capability and enterprise control.
That’s why we built SAGE (Semantic AI Governance Engine) — a new approach to AI governance designed for autonomous systems.
Join us on April 16 at 10 AM PT to learn how leading organizations are approaching AI agent governance:
- How to move beyond static rules to semantic policy enforcement
- How to define and enforce governance using natural language policies
- How to maintain real-time visibility and control over agent actions
- How to reduce risk without slowing down AI-driven innovation
AI agents are already operating inside enterprise environments. The question is no longer if they will act — but whether you can control how they act.
Register Now
If you're responsible for security, risk, or AI strategy, this session will give you a clear view of what modern governance needs to look like in an agent-driven world.
— The AI Team at Rubrik
