The EU AI Act
How the EU AI Act relates to evidence, human oversight and the use of AI in security.
Evidence and records behind every AI output
AI governance starts with understanding the system’s purpose and how people use its output. Evidence, review records and clear permissions help the organization examine that use.
Articles
Classification depends on intended purpose and use, including the distinctions in Annex III. A cybersecurity label alone does not settle the classification of every deployment.
Meaningful oversight lets people understand output, challenge it and intervene. Evidence and review records make that responsibility practical.
Reviewers need to assess the basis of a result rather than accept its confidence or fluency. Missing and contradictory evidence should remain visible.
Relevant event records help explain how a system operated and support later review. Requests, results and operating changes contribute different parts of that history.
Evaluate how the system handles untrusted input and attempts to redirect its use. Controls around permissions and tools matter alongside the model’s behavior.
The organization using a high-risk system has responsibilities for its operation and oversight. Assign the relevant people, information and authority around the actual deployment.
Dates
The applicable duties and transition periods follow the current legal text and the system’s intended use. Keep those dates in the organization’s compliance plan.
Now
Identify the duties already applicable to the organization, including relevant AI literacy, prohibited-practice and transparency provisions.
Next
Plan for the obligations and transition dates that apply to the proposed system and role. Review intended use, documentation and oversight before introducing a new capability.
