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PyroTrace independently verifies what your production AI agents can reach, what they actually touch, and which of it is sensitive.

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Security-grade answers about AI agents start with evidence.

PyroTrace independently verifies what production AI agents and MCP servers can reach, what they actually touch, and which of it is sensitive — so security teams can reduce that reach and prove it.

AWS
Cloud focus today
Kernel
Where the sensor observes
Evidence
Linked to every finding
Reach
The metric we own

Prompts and configuration show only part of the picture.

AI agents went to production faster than anyone's governance did. They hold real credentials, call real APIs, and touch real data — and most organizations cannot produce a trustworthy list of which agents exist, let alone what each one can reach.

The existing answers look at the edges: prompt firewalls read the conversation, posture tools read the configuration. We built PyroTrace to watch the middle — the workload itself — with a read-only, kernel-level sensor, corroborated by CloudTrail, MCP gateway, and LLM telemetry.

That gives security teams something the AI conversation has been missing: claims about agents that are backed by observation. What was granted. What was used. What was sensitive. And the shortest defensible path to reducing all three.

The evidence layer for AI agents.

PyroTrace is not another alert feed. It joins each agent’s granted reach with its observed usage and your data classification, and turns the gap into provable least-privilege cuts.

Verify the inventory

Every AI agent and MCP server you actually run, discovered from telemetry and admitted on an evidence ladder.

Measure real reach

Per agent: resources reachable, resources touched, and which of them hold PII, PHI, or payment data.

Reduce and document

Review grants with no observed use, then export framework-mapped evidence of the resulting change.

How we build.

A name is never evidence.

A role called "agent" proves nothing. Inventory entries are admitted only with registry, structural, or observed-behavior backing.

Granted is not used.

Permissions describe what could happen. We measure what did — and treat the difference as the work.

Claims stay evidence-bounded.

We say exactly what we observed: agent-attributed traffic to a classified resource. We never claim to have read payloads.

Read-only first.

The sensor observes; it does not intercept. Remediation is proposed with proof and applied by you, never behind your back.

PyroTrace is built for security teams responsible for production AI agents, their identities, and the resources they can reach. To see how the platform applies to your environment, request a walkthrough.

See your agents' real reach.

See how PyroTrace connects agent identity, reachable resources, observed usage, and data sensitivity in one evidence-backed view.

Book a 20-minute demo →Explore a sample agent map