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 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.