AI Agent Monitoring

Monitor your AI agents in real time

AI agent monitoring is watching what your agents do as they do it — surfacing risky actions the moment they happen and keeping a permanent record you can go back to.

AI agent monitoring is the continuous tracking of agent activity for security, reliability, and compliance. Where observability is about being able to see agent actions, monitoring is about watching them over time — spotting anomalies, enforcing limits, and keeping evidence.

For teams running agents against production systems, monitoring is the difference between learning about a bad action in the moment and discovering it weeks later in a post-mortem.

What to monitor across your agents

Good AI agent monitoring tools watch the signals that actually indicate trouble:

  • Blocked and denied actions — attempts to do something policy forbids.
  • Sensitive operations — access to secrets, credentials, or protected paths.
  • Unusual volume or patterns of tool calls from a single agent.
  • Policy changes and who made them.

A tamper-evident audit trail

Monitoring is only as trustworthy as its record. Prismor keeps a tamper-evident audit trail of every action an agent took — who, what, when, and whether it was allowed or blocked — so the history can’t be quietly rewritten.

That trail turns "what did our agents do last quarter?" from a guess into an exportable answer for auditors and security reviews.

Monitoring that can act, not just watch

Because Prismor sits inline at the tool-call boundary, monitoring isn’t passive. The same layer that records an action can block it, require approval, or fail closed — so a dangerous action is stopped, not just logged after the fact.

Frequently asked questions

What is AI agent monitoring?

AI agent monitoring is the continuous tracking of what AI agents do at runtime — their tool calls and system operations — to surface risky behavior in real time and maintain an auditable record.

What’s the difference between monitoring and observability for AI agents?

Observability is the capability to see agent actions; monitoring is the ongoing practice of watching those actions over time, alerting on anomalies, and retaining an audit trail.

Monitor and control every AI agent from one place

Explore the AI agent control plane