AI Governance Briefing — September 19, 2025
One week after the EU Data Act go-live, Zeph Tech is expanding interoperability tests so AI workloads maintain logging, security, and documentation after provider switching.
Executive briefing: With a week of EU Data Act enforcement experience, Zeph Tech is scaling interoperability validation for AI services. Articles 28 and 30 require providers to ensure interfaces, schemas, and contractual controls support switching without degrading security or compliance evidence. The team is replaying switching exercises on secondary clouds and edge locations to confirm audit trails, Article 53 documentation, and systemic-risk monitoring persist.
Regulatory checkpoints
- Interface compatibility. Article 28 obliges providers to supply the technical information necessary for service-to-service interoperability, including APIs, data structures, and authentication schemes.
- Security guarantees. Article 28(5) stresses that switching cannot weaken cybersecurity or data protection safeguards.
- Smart-contract recovery. Article 30 demands safe termination controls that prevent unintended executions during switching.
Control alignment
- DevOps integration. Embed Data Act interoperability tests into CI/CD pipelines so every major release validates export/import tooling.
- Documentation sync. Update EU AI Act technical files with notes on new hosting environments, ensuring regulators can trace provenance post-migration.
Detection and response priorities
- Monitor for schema drift or metadata loss that could compromise AI model explainability after switching.
- Track access-control consistency, confirming least-privilege policies remain intact on destination environments.
- Escalate vendors that cannot deliver interoperability information specified in Article 28 within contractual timelines.
Enablement moves
- Share interoperability findings with EU regulators and customers to evidence continued compliance.
- Refine customer support documentation with lessons learned from switching to alternative platforms.
- Align procurement scorecards with Data Act requirements so future AI vendors demonstrate interoperability readiness during selection.