Traditional AI governance was built for models that predict, not agents that act. To scale from fragile prototypes to production-grade systems, technical teams need a new framework designed for non-human identities, non-deterministic loops, and agents that make thousands of decisions in seconds.

In this masterclass, we break down the three core pillars of Agent Governance—Visibility, Governance, and Remediation—across the agentic lifecycle. Whether you’re deploying a single-task assistant or a multi-agent swarm, you’ll gain a practical roadmap for maintaining control without stifling innovation.

We will dive deep into:
- Autonomy Paradox: More power = more risk and why agents require a fundamental shift in risk management.
- Three Pillars of AgentOps: Implementing real-time Visibility, Governance, and Remediation and the role of AI in governing Agents.
- Policies 101: Best practices for writing and enforcing effective policies tailored for your needs.
- The Maturity Roadmap: Identifying exactly what governance infrastructure you need at each stage—from 1 to 1,000 agents.

Leave with a clear framework for agentic safety and a playbook for ensuring recoverability in high-stakes environments.