High-risk AI systems become fully regulated on August 2, 2026. TrustHouse is the infrastructure that turns the Act's requirements into operational evidence, not aspirational policy.
High-risk system requirements fully applicable.
Maximum fines, whichever is higher (of global annual revenue).
Define your operational compliance obligations (12, 13, 14, 15).
The Act doesn't ask if you have policies. It asks if they fire, if they're recorded, and if a human can override them. Here is how TrustHouse turns each requirement into infrastructure.
ARTICLE 12: RECORD-KEEPING
The Act requires high-risk AI systems to automatically log activity throughout their operational lifetime. Every inference, every decision, every output must be traceable.
TrustHouse delivers this through AI Governance. Every AI decision is recorded with its data sources, model version, policy evaluations, risk score, and outcome. Append-only logs, queryable on demand, exportable as audit-ready reports.
Explore AI GovernanceARTICLE 13: TRANSPARENCY
Deployers must explain how their AI systems work and what they produce, in a way that users and regulators can actually understand.
TrustHouse delivers this through LineageTalk. Any stakeholder (regulator, auditor, customer, internal reviewer) can ask a question about any decision in natural language and receive an explanation grounded in the actual data, reasoning, and policy context behind it.
Explore LineageTalkARTICLE 14: HUMAN OVERSIGHT
High-risk AI systems must be designed to allow human intervention. Fully autonomous pipelines without an override mechanism are out of scope for compliance.
TrustHouse delivers this through AI Risk Engine policy enforcement. Configurable escalation triggers (low confidence, high risk, policy proximity) automatically pause AI decisions for human review, with every review documented in the audit trail.
Explore AI Risk EngineARTICLE 15: ACCURACY, ROBUSTNESS, CYBERSECURITY
High-risk systems must maintain consistent accuracy, robustness, and security across their operational lifetime. A system that was accurate at deployment but has silently degraded is a compliance liability.
TrustHouse delivers this through Agent Quality Monitoring and the Secure AI Gateway. Every agent's accuracy, robustness, and security posture is monitored continuously. Drift is detected in real time. Adversarial defenses are active at the edge.
Explore Secure AI GatewayHow enterprises move from aspirational policy to defensible infrastructure.
Map which AI systems in your enterprise qualify as high-risk under the Act's classification framework.
Deploy AI Governance across those systems. Article 12, addressed.
Make every decision queryable through LineageTalk. Article 13, addressed.
Configure escalation triggers in AI Risk Engine. Article 14, addressed.
Activate Agent Quality Monitoring. Article 15, addressed continuously.
What This Means
Every requirement, met by infrastructure that's already doing the work.
The EU AI Act applies if you operate in the EU, serve EU customers, or deploy AI that interacts with EU residents. The UK is developing its own AI governance framework that mirrors many of the same principles. Either way, the infrastructure the Act demands is the infrastructure good governance requires, regardless of jurisdiction.