PyroTrace maps what production AI agents can reach, records what they actually use, and flags sensitive access. It does not rely on configuration alone.
Independent evidence for security, platform, and compliance teams.
Read-only, kernel-level sensor
AWS, CloudTrail, Bedrock, SageMaker, MCP
Evidence linked to every finding
Production AI agents hold real credentials and real reach into your cloud. Conventional inventory and posture data can leave their observed resource use unresolved.
Discover production agents from observed activity.
Evidence: attributed workload traffic
Verify identities instead of trusting role names.
Evidence: identity and role chain
Separate permissions granted from permissions used.
Action: review unused grants
Expose reachable PII, PHI, and payment resources.
Evidence: classified resource path
Connect agent activity to cloud and network events.
Evidence: prompt-to-resource run story
Export an evidence-linked record of reach and use.
Action: framework-mapped report
PyroTrace joins what each agent is granted with what it demonstrably did, then turns the gap into safe, provable least-privilege cuts.
Every agent and MCP server, proven
Agents are discovered from sensor, CloudTrail, and gateway telemetry. Every inventory entry is backed by observed activity, never a configuration name alone.
Granted vs. used, per agent
Resource-Reach Utilization, Sensitive Reach, and Shadow Access & Egress: the modeled reach of each agent joined against what the sensor actually observed.
Cut unused grants, export the proof
Review grants with no observed use, surface first-seen and risky paths on the Agent Map, and export framework-mapped reports with supporting evidence.
For every agent, one answer: how many resources it can reach, how many it demonstrably touched, and which of them hold data that matters. That gap helps prioritize least-privilege reviews.
Log-based tools tell you a token was used. We show when agent-attributed traffic reached a sensitive-classified resource; payload content remains unverified.
Agents are identified through an evidence ladder. It uses registry facts, structural facts, operator declarations, observed behavior. A name is never evidence.
kernel-level (eBPF), read-only flow observation
control-plane API activity
tool calls and server registrations
OTel GenAI, gateway, sidecar
Splunk, Sentinel mappings
host activity imports
Log-based tools tell you a token was used. PyroTrace shows when agent-attributed traffic reached a sensitive-classified resource or external endpoint. Payload content remains unverified by design.
We don't rescan your cloud posture. We verify what your agents actually do with the access your cloud already grants them.
Findings map to OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF. Each finding includes evidence instead of a severity guess.
The sensor observes the workload itself, so the inventory never depends on teams remembering to self-report their agents.
See how PyroTrace connects agent identity, reachable resources, observed usage, and data sensitivity in one evidence-backed view.