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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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Built to verify agents without becoming your next exposure.

A security product that watches AI agents has to hold itself to a harder standard: read-only observation, minimal data, scoped access, and claims that never exceed the evidence.

Read-only sensor
The kernel-level sensor observes traffic; it never intercepts, injects, or modifies.
Metadata, not payloads
We record that traffic reached a resource, and how much. Payload content is never captured.
Scoped cloud access
CloudTrail and inventory collection run under least-privilege, customer-reviewed IAM roles.
Tenant isolation
Each customer's evidence graph is processed and stored in isolated tenant boundaries.

Defense in depth.

Kernel observation without payload capture

The PyroTrace Sensor records flow metadata — source identity, destination, bytes — at the kernel via eBPF. What was said inside the connection remains unverified by design.

Data minimization

PyroTrace stores reach models, flow metadata, and classification labels — not your data. Secrets are inventoried as metadata only, never read.

Identity-aware modeling

IAM role chains, assume-role paths, and model-layer permissions are first-class evidence, re-derived from live policy documents on every scan.

Encrypted transit and rest

Evidence is encrypted in transit and at rest, and processed inside controlled service boundaries built for enterprise review.

Evidence you can audit

Every finding links to the observations that produced it — source, timestamp, and derivation — so your team can verify our claims, not trust them.

Continuous, not point-in-time

Reach models and observed usage refresh continuously, so first-seen paths and new grants surface as they appear.

Review PyroTrace with your security team.

Review sensor deployment, IAM scope, data flows, retention, and evidence handling with your security team.

Book a 20-minute demo →See the platform