---
title: EU AI Act, AI Agent Compliance Coverage
description: How ZioSec evidence satisfies EU AI Act. Control-by-control mapping with coverage type, supporting evidence, and out-of-scope items.
url: https://ziosec.com/ai-compliance/eu-ai-act
about: EU AI Act
authority: European Commission
reference: 2024/1689
---

# EU AI Act

Standard 01 of 05. Regulatory, Binding.

The first comprehensive legal framework for AI worldwide. A risk-tiered regime where high-risk systems carry obligations around risk management, data governance, technical documentation, human oversight, accuracy, robustness, and cybersecurity.

## At a glance

- **In Force:** Aug 2024 (entry); prohibitions Feb 2025
- **Critical Date:** 02 AUG 2026
- **Scope:** Providers and deployers on the EU market
- **Penalty:** €35M / 7%

## Control-level coverage

Where ZioSec evidence satisfies EU AI Act:

- **Art. 9 Risk Management System** (Full)
  - Obligation: Continuous, iterative process across the AI lifecycle to identify, estimate, and evaluate risks, then test mitigations.
  - ZioSec capability: Continuous Pentest
  - Coverage: Our trained pentesting agent probes thousands of vulnerability pathways on every change, satisfying the "continuous, iterative" testing requirement.
  - Evidence: Risk register (auto-updated); Pre/post-mitigation test runs; Residual risk scoring

- **Art. 10 Data and Data Governance** (Supporting)
  - Obligation: Training, validation, and testing datasets must be relevant, representative, free of errors, and complete.
  - ZioSec capability: Data-Path Probing
  - Coverage: Probes for data leakage, training data extraction, and PII exfiltration vectors that violate Art. 10's quality and integrity requirements.
  - Evidence: Extraction attack reports; PII leakage test results; Vector store probe logs

- **Art. 11 Technical Documentation** (Full)
  - Obligation: Detailed documentation demonstrating system compliance, drawn up before placing on the market and maintained.
  - ZioSec capability: Audit-Ready Reporting
  - Coverage: Every pentest produces a structured, timestamped report meeting Annex IV technical documentation requirements.
  - Evidence: Test methodology docs; Version-pinned findings; Annex IV-aligned reports

- **Art. 12 Record-Keeping (Logging)** (Full)
  - Obligation: Automatic logging of events relevant to risk identification and substantial modification tracking.
  - ZioSec capability: Fleet-Wide Telemetry
  - Coverage: Containerized deployment captures every agent action, tool call, and policy decision into immutable logs.
  - Evidence: Tool-call audit trail; Policy decision logs; Event correlation IDs

- **Art. 14 Human Oversight** (Partial)
  - Obligation: Designed to be effectively overseen by humans, with capabilities to intervene, override, or shut down.
  - ZioSec capability: Policy Composition
  - Coverage: Automatic policy composition produces enforceable guardrails that surface decision points and preserve human-in-the-loop integrity.
  - Evidence: Override-path testing; Kill-switch validation; Escalation logs

- **Art. 15 Accuracy, Robustness, Cybersecurity** (Full)
  - Obligation: Resilient against errors, faults, attempts by unauthorised third parties, and attacks specific to AI.
  - ZioSec capability: Offensive Testing Core
  - Coverage: ZioSec's primary mandate. Adversarial inputs, prompt injection, model evasion, and supply-chain attacks tested continuously.
  - Evidence: Adversarial test corpus; Robustness benchmarks; Attack-resistance scores

- **Art. 17 Quality Management System** (Supporting)
  - Obligation: Documented strategy for compliance including testing, examination, validation procedures.
  - ZioSec capability: Continuous QMS Input
  - Coverage: Pentest cadence and findings feed directly into the QMS, with version-controlled procedures and evidence chains.
  - Evidence: Procedure version history; Validation runs

- **Art. 72 Post-Market Monitoring** (Full)
  - Obligation: Active and systematic gathering of data on AI system performance throughout its lifetime.
  - ZioSec capability: Fleet-Wide Governance
  - Coverage: Single pane of glass surfaces every agent's behavior post-deployment, with anomaly detection feeding the post-market monitoring file.
  - Evidence: Drift detection alerts; Behavior baselines; Incident timelines

## Customer-owned (out of scope)

These obligations are part of EU AI Act but pentest cannot satisfy them. They live with your governance, legal, and product teams.

- **Art. 13 Transparency & Provision of Information** (Out of Scope (customer-owned))
  - Obligation: High-risk systems must be designed so deployers can interpret outputs.
  - ZioSec capability: Customer Governance Fills
  - Coverage: Authoring user-facing instructions and interpretation guidance is a documentation and product function, not a pentest output.
  - Evidence: Owner: Product / Legal

- **Art. 26 Obligations of Deployers** (Out of Scope (customer-owned))
  - Obligation: Deployers must use the system per instructions, assign human oversight to qualified persons.
  - ZioSec capability: Customer Governance Fills
  - Coverage: Operational obligations on the organization deploying the agent. Role assignments and oversight policies live with your GRC team.
  - Evidence: Owner: GRC / Operations

- **Art. 27 Fundamental Rights Impact Assessment** (Out of Scope (customer-owned))
  - Obligation: Public-sector and certain private deployers must perform an FRIA.
  - ZioSec capability: Customer Governance Fills
  - Coverage: FRIA is a legal and ethical analysis, not a technical pentest. Owned by Legal, Privacy, and Ethics functions.
  - Evidence: Owner: Legal / Privacy / Ethics

- **Art. 50 Transparency to Natural Persons** (Out of Scope (customer-owned))
  - Obligation: Users must be informed they are interacting with AI; AI-generated content must be marked.
  - ZioSec capability: Customer Governance Fills
  - Coverage: UI disclosure copy, watermarking choices, and disclosure policies are product and legal decisions.
  - Evidence: Owner: Product / Legal

## Crosswalk available

Get the per-article crosswalk for your stack.

We will map your specific AI agents to the EU AI Act articles, identify gaps, and propose the evidence chain.

What you receive:

- Per-article coverage map
- Annex IV tech doc template
- Risk register starter
- Conformity assessment outline
- Post-market monitoring schema
- Notified-body briefing kit

Email info@ziosec.com (subject: EU AI Act Crosswalk) or open the cross-framework matrix at https://ziosec.com/ai-compliance/matrix.