Safeguarding Data Under the EU AI Act

The EU AI Act’s data rules aren’t best practice anymore — they’re legally enforceable engineering requirements, backed by fines that exceed the GDPR’s. Learn what Articles 10, 11, 12, 15 and 53 actually demand of your training data, and where the timeline really stands after the Digital Omnibus.

Regulation (EU) 2024/1689 turns the data pipeline into the primary surface a regulator will examine. Article 10 governs the quality and governance of training, validation and testing data. Article 11 demands documentation that proves provenance — retained for ten years. Article 12 requires attributable logs. Article 15 mandates resilience against poisoning and confidentiality attacks.

The Digital Omnibus deferred the Annex III high-risk deadline to 2 December 2027, but the agreement is provisional, not adopted law, and watermarking still lands on 2 December 2026.

This whitepaper asks what that means for the teams who own the data: which controls are genuinely engineering work, which are governance, and what to build first. It covers the five data problems regulators probe repeatedly, the penalty tier that puts data governance and logging failures at €15M or 3%, where the Act collides with the GDPR on anonymization, and a seven-step blueprint you can start today.