EU AI Act Compliance: Evidence, Not Policy Documents

The EU AI Act (Regulation (EU) 2024/1689) imposes strict obligations on high-risk AI systems from 2 August 2026. Cortex AIF is the only verification engine that deletes any fact or number without source proof, producing structured evidence an auditor can accept. No confidence scores, no LLM judges – just deterministic code checking each claim against live regulations.

The EU AI Act Compliance Challenge

High-risk AI systems must comply with Articles 9-15 and 26 of the EU AI Act, covering risk management, data governance, technical documentation, automatic logging, transparency, human oversight, and accuracy/robustness/cybersecurity. Fines can reach up to 7% of global turnover. Traditional approaches rely on LLMs that fabricate specifics or generic checklists that produce no evidence. Cortex AIF eliminates both risks.

Evidence, Not Policy Documents – What an Auditor Accepts

An auditor needs structured evidence: a claim, a source, and a verification status. Cortex AIF stamps each claim as VERIFIED, PARTIALLY_VERIFIED, UNVERIFIED, or GAP. For example, a risk management process under Article 9 is checked against the actual regulation text, not a summary. The output is a machine-readable evidence bundle you can hand to an auditor – not a PDF of policies.

How Cortex Verifies – Code Is the Judge, Not the Model

Most vendors use one LLM to judge another – probabilistic and unreliable. Cortex AIF uses deterministic code to check each claim against real sources. If a number or fact cannot be proven from the source, it is deleted. No confidence score, no hallucination. The code sets the truth, not the model.

Core Obligations Covered by Cortex AIF

• Risk Management (Article 9) – Verify risk identification, analysis, and mitigation steps against the regulation.
• Data Governance (Article 10) – Confirm training data quality, bias detection, and representativeness.
• Technical Documentation (Article 11 & Annex IV) – Ensure all required documentation elements are present and accurate.
• Automatic Logging (Article 12) – Check logging capabilities and event coverage.
• Transparency (Article 13) – Verify user-facing information and instructions for use.
• Human Oversight (Article 14) – Confirm oversight measures and human intervention mechanisms.
• Accuracy, Robustness, Cybersecurity (Article 15) – Validate performance metrics and security controls.

Deployer Duties Under Article 26

Deployers of high-risk AI systems have separate obligations under Article 26, including use monitoring, human oversight, and data retention. Cortex AIF verifies deployer compliance with the same source-grounded approach, ensuring both provider and deployer obligations are met.

Why Cortex AIF Beats ChatGPT and Checklist Suites

ChatGPT answers from old memory, reassures you, but cannot cite the live regulation or check a vendor. Generic checklist suites give you a to-do list, not proof. Cortex AIF gives you deterministic verification against the actual EU AI Act text, with a clear evidence trail. For high-cost-of-error decisions, one false figure is expensive – Cortex deletes it before it reaches your auditor.

Frequently asked questions