AI agents are no longer just answering questions. They are updating records, routing approvals, touching regulated data, and triggering systems that affect customers, revenue, and risk.

Gentrail gives security, compliance, and AI teams one control plane for the agents across their AI infrastructure, deployed in their own cloud, starting with AWS.

Inventory: discover AWS and SDK-instrumented agents, including unapproved or undocumented agents.

Runtime control: evaluate governed actions before execution with a deterministic policy engine. Rules decide whether to block, warn, or allow. An LLM does not sit in the enforcement path.

Audit-ready evidence: turn governed agent actions into tamper-evident records mapped to SOC 2 Type II, NIST AI RMF 1.0, ISO/IEC 42001, and ISO/IEC 27001, with audit periods, signed workpapers, and one-click export.

We started with AWS because trust infrastructure should sit next to the agents, traces, credentials, and evidence it governs. Your agent traces and audit records stay in your AWS account. Azure and GCP support is on the roadmap, so one trust layer can span your AI infrastructure as it grows.

Start with a demo at gentrail.ai. Free 60-day pilot in your own AWS account: monitoring and detection for up to 10 agents

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