For Security Teams

Let AI agents move fast
without losing sight of what they touch.

Your agents call MCP tools, reach databases, and hit external APIs in production. ObserveAgents turns that runtime behavior into evidence-backed security findings — worst first, explained, and never enforced automatically.

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Evidence-backed findings · Privacy-scrubbed · Observe-only until configured
The security problem

Agents act in production.
Your audit trail doesn't see them.

Every agent your teams ship can call tools, query databases, and reach external providers — with no inventory, no owner, and no record of what it touched. When someone asks "what can this agent actually do?", the honest answer is "we don't know."

You have three bad options:
01

Block AI entirely

Watch the productivity walk out the door — and come back as shadow agents nobody registered.

02

Trust blindly

Let agents run with database access and MCP tools you've never reviewed, and hope the incident never comes.

03

Build it yourself

Wire your own agent monitoring across every team and framework. Months of work that still misses the agents you don't know about.

What ObserveAgents gives security

Risk, with the evidence attached.

Every finding is derived from privacy-scrubbed runtime evidence — identifiers, counts, and timings. Never prompts, never responses.

Findings

Runtime security findings

Worst-first investigation queue: risky tool usage, sensitive access, repeated failures — each with the evidence that fired it.

MCP & tools

See every tool an agent holds

MCP servers and tool calls surface from traces — including access levels that were never meant for production.

Providers

Unknown providers, flagged

A production agent talking to a model provider outside your catalog becomes a high-severity finding — automatically.

Ownership

No agent without an owner

Missing ownership in production strengthens other findings and gets its own flag — audit context built in.

Gateway

Control recommendations, not auto-blocks

High-risk agents become review candidates with suggested controls. The Gateway enforces only when you explicitly configure it.

How it works

Three jobs it does for security

Investigate. Explain. Recommend. Without touching production behavior.

critical · shell access high · mcp in prod medium · no owner
01 · Investigate

Findings, worst first

One queue per agent, sorted by severity. Seven investigation buckets — from MCP risk to human-review signals.

finding: db_access evidence: 12 spans last seen: 4m ago
02 · Explain

Every finding shows why

No black-box risk scores. Each finding carries the spans, counts, and timings that produced it.

03 · Recommend

Gateway candidates for review

Risky agents arrive with suggested controls. You decide — nothing is blocked or rerouted automatically.

See your agents' risk surface today.

Open the live demo: security findings, investigation buckets, and the Gateway Control Center — on realistic synthetic data, nothing to install.

Try our Demo →
The ObserveAgents console