AI agents act autonomously, not just as tools. Learn why enterprises need runtime governance to secure, observe, and control AI behavior in real time.

StrongDM is a secure access platform for managing and auditing access to databases, servers, and Kubernetes clusters, offering centralized access control and audit logs. Users can learn about access management, security best practices, and compliance requirements to ensure secure and compliant access to their infrastructure and data.

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AI agents operate autonomously with system-level privileges, creating security risks that traditional governance models can't address. Enterprises need runtime governance that monitors agent behavior at the kernel level using technologies like eBPF, enforces context-aware policies through languages like AWS Cedar, and provides immediate containment capabilities. This approach enables real-time observation and enforcement of agent actions—from file access to network calls—ensuring safe autonomy from development through production deployment.

AI Agents Are Actors, Not Tools: Why Enterprises Need a New Layer of Runtime Governance

The Problem: Visibility Ends Where Execution Begins

Security Observability and Control at the Edge

The Policy Language for Agent Behavior: Cedar

From Observation to Enforcement: Building Runtime Trust

From Local to Fleet: Scaling Safe Autonomy

<p>I am not going to lie, this feels slightly scary but at the same time it is really exciting. AI agents are like the new wild card in the tech world. It will be necessary to implement very strict regulations to prevent the situation from getting out of control before the agents turn rogue completely. Still, I must admit that the potential is huge if we manage to find the right balance.</p>
