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Announcing TrustScope: Governance Evidence Infrastructure for AI Agents

Today we're launching TrustScope, the first platform that generates cryptographically verifiable evidence for AI agent governance.

AdamJanuary 30, 20265 min read

The Problem

AI agents are taking thousands of actions per day. Every LLM call, every tool invocation, every decision. But when an auditor asks "show me your agents followed policy," what do you show them?

Observability tools give you dashboards. Logs give you raw data. Neither provides **evidence**.

Evidence is different. Evidence is:

  • Cryptographically verifiable
  • Tamper-evident
  • Mappable to compliance frameworks
  • Auditor-consumable
  • That's what TrustScope provides.

    What We Built

    TrustScope is inline runtime governance infrastructure for AI agents. Three capabilities, one platform:

    **Know** — 27 detection engines analyze every AI action. PII, secrets, prompt injections, loops, anomalies, toxicity. See it all.

    **Control** — 50+ policy types enforce your rules inline. Block threats before they cause damage. Natural language policies for complex requirements.

    **Prove** — Cryptographic evidence for any framework. Hash chains, Ed25519 signatures, AIUC-1 mapping. Audit trails that auditors can verify.

    How It Works

  • Connect your agents via Gateway, SDK, MCP, or CLI
  • Detect threats with 27 engines running on every trace
  • Enforce policies that block violations inline
  • Prove compliance with signed audit trails
  • Start Today

    TrustScope is available now. Start free, or upgrade for blocking, AI engines, and evidence signing.

    Start Free →

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