The compliance clock is ticking: EU AI Act obligations phase in from 2026 through 2028, and GDPR and FDA 21 CFR Part 11 are already in force, with fines reaching into the millions.
This paper lays out how governance becomes a built-in capability of your AI data infrastructure, not a project-by-project scramble:
- Proof, built in: Every model is tied to the exact dataset version behind it, with audit trail and lineage captured automatically across every workload and data type.
- Audits answered, not reconstructed: Hand auditors a complete chain of custody and reproduce any past result with the same inputs, instead of rebuilding evidence by hand.
- Reduced risk with preventive data controls: Data contracts and quality gates enforced by policy stop bad or non-compliant data at the door, not downstream.
- Isolated data access, enterprise scale: Teams and agents work on production data in isolated environments, with mistakes rolling back in seconds at zero-copy, petabyte scale.
