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PLATFORM

AI Agent Governance for EU AI Act Compliance

TruSecure discovers and governs AI agents across your environment in real time. From detection to policy enforcement to auditor-grade proof, every AI agent is tracked, classified, and controlled — aligned with ISO 42001, NIST AI RMF, and EU AI Act requirements.

The monitoring loop

continuous · every 6 hours
  1. 01

    Connect

    Read-only connectors into AWS, Azure, GCP, on-premise.

    AWSAzureGCPon-prem
  2. 02

    Collect

    AI pulls compliance evidence every 6 hours — not at audit time.

    every 6 h
  3. 03

    Detect

    Gaps and control drift flagged the moment they appear.

    24/7
  4. 04

    Remediate

    Routine fixes closed automatically; the rest routed to you.

    auto
  5. 05

    Approve

    A named person decides. The approval is the record.

    logged
90% less manual evidence work100% audit-ready, every day

The 80/20 advantage. AI handles the tedium — evidence, testing, gap analysis, routine fixes. Your team keeps the interesting 20%: strategic decisions, policy exceptions, risk acceptance.

The Problem: Shadow AI and Unaccountable Decisions

Shadow AI

Tools adopted without compliance review — employees using ChatGPT, code assistants, and automation tools that bypass governance.

Policy Enforcement Gaps

No way to control AI agent decisions before execution — data leaves the organization, risks are taken, and governance is an afterthought.

Audit Evidence Missing

Auditors demand proof of AI governance — not policies, but evidence of actual agent discovery, classification, and control.

The Solution: Runtime Agent Governance

1. Agent Discovery (Runtime)

TruSecure scans your environment — GitHub, GitLab, code repositories, SaaS tools — and discovers every AI agent in use. No more shadow AI.

2. Classification by Risk

Every AI agent is classified by data sensitivity, decision impact, and risk tier (high/medium/low). EU AI Act risk categories mapped automatically.

3. Policy Enforcement (Before Execution)

Controls apply before AI agents act — data access controls, risk-based approval gates, and usage policies enforced in real time.

4. Audit Trail & Proof

Every AI decision logged with reasoning and approval. Agent registry, risk assessments, and policy compliance reports — auditor-grade evidence on demand.

Framework Alignment

EU AI Act

Risk tier mapping (prohibited/high/limited/minimal), conformity assessment support, and compliance reporting.

ISO 42001

AI management system controls, policy framework, and continual improvement cycles mapped to your agent registry.

NIST AI RMF

Risk management framework governance functions, risk categorization, and continuous monitoring mapped to your AI inventory.

Discovery produces an inventory; governance turns it into a system. The agent registry that discovery builds is the register ISO 42001's management-system controls and the EU AI Act's deployer duties read from — one record per agent, classified once, cited by every regime that asks about it.

Frequently Asked Questions

What does AI governance in TruSecure cover?
Runtime discovery, policy enforcement and auditor-grade proof for every AI agent in your organization — aligned with ISO 42001, NIST AI RMF and EU AI Act requirements.
How does this relate to the EU AI Act?
The platform maps AI Act obligations onto the same control model as everything else, so AI-system inventory, risk classification and documentation duties are governed alongside your other frameworks.
Does TruSecure govern its own AI the same way?
Yes — the same propose-approve-log discipline applies to TruSecure’s own AI use, as set out in the AI Transparency Statement: AI proposes, a named person decides, every step is logged.