The world's first comprehensive AI law, and it applies to you.

"Complete a conformity assessment and affix the CE marking before placing a high-risk AI system on the EU market."

Articles 43-49, Conformity Assessment Most Annex III high-risk systems use the internal control route: the provider self-assesses its quality management system, examines technical documentation, and verifies design consistency. Real-time remote biometric identification systems and AI embedded in products that already require third-party assessment must go through a notified body. After assessment, the provider draws up an EU declaration of conformity, affixes the CE marking, and registers the system in the EU database.

→ Nexovern captures the continuous runtime evidence that conformity assessments demand: system behavior, data flows, and performance records that map directly to the documentation requirements of Articles 11 and 12.

"Establish and maintain a risk management system throughout the entire AI system lifecycle."

Article 9, Risk Management The system must be continuous, not periodic. Providers must identify and analyse known and reasonably foreseeable risks, estimate risks from intended use and foreseeable misuse, adopt risk-mitigation measures, and demonstrate that residual risk is acceptable. The risk management process must be documented and updated throughout the system's operational lifetime.

→ Nexovern's runtime monitoring feeds continuous risk signals, prompt content, and behavioral metrics into the documented risk management process, replacing periodic manual reviews with real-time evidence collection.

"Design high-risk systems for automatic event logging and full traceability."

Article 12, Record-Keeping / Logging Systems must allow automatic recording of events (logs) throughout their lifetime. Logs must enable traceability of the system's functioning. Deployers must keep logs generated by the system for at least six months. For high-risk systems, the logging requirement is not optional: it must be built into the system's design and architecture.

→ Nexovern correlates app-layer prompt capture with OS-layer telemetry under one identity, producing the traceable, tamper-evident logs that Article 12 requires without depending on the AI system's own logging capabilities.

"Implement human oversight with a mechanism to stop, correct, or override the system."

Article 14, Human Oversight High-risk AI systems must be designed for effective human oversight during their period of use. This includes a "stop" button or similar safe-shutdown mechanism. Oversight measures must be proportionate to the risks, the system's level of autonomy, and the context of use. For autonomous AI agents, oversight cannot be nominal: the design must allow external monitoring and meaningful intervention.

→ Nexovern provides the real-time visibility that human oversight requires: live session monitoring, intervention alerts, and identity-correlated activity records that let oversight personnel understand what each AI system is doing and respond when it deviates.

"Comply with GPAI model obligations: technical documentation, copyright policy, and training data summaries."

Articles 51-55, General-Purpose AI GPAI model obligations have been enforceable since 2 August 2025. All GPAI providers must maintain technical documentation, provide information to downstream system providers, comply with the EU Copyright Directive, and publish a training content summary. Models exceeding 10^25 FLOPs are presumed to carry systemic risk and face additional obligations: model evaluation with adversarial testing, systemic risk assessment, serious incident reporting within two weeks, and cybersecurity protections.

→ Nexovern tracks how GPAI models are integrated and used downstream, providing the evidence chain that downstream providers need when documenting their own systems' reliance on foundation models.

"Establish continuous post-market monitoring and report serious incidents within defined timelines."

Articles 72-73, Post-Market Monitoring and Incident Reporting Providers of high-risk AI systems must establish a continuous post-market monitoring system that actively collects and analyses performance data throughout the system's operational lifetime. Serious incidents must be reported to national market surveillance authorities: within 2 days for widespread or severe incidents, within 10 days when a death is involved, and within 15 days as the default timeline.

→ Nexovern's continuous monitoring captures drift, performance anomalies, and behavioral deviations in real time, giving incident response teams the documented evidence needed to meet the Act's reporting timelines.

"Ensure sufficient AI literacy across staff, contractors, and anyone operating AI systems on your behalf."

Article 4, AI Literacy Enforceable since 2 February 2025. Providers and deployers must ensure AI literacy of their staff and anyone dealing with the operation and use of AI systems on their behalf, including contractors and service providers. While no direct fines apply specifically for violating Article 4, insufficient AI literacy will be treated as an aggravating factor in enforcement of other provisions.

→ Nexovern's visibility into how each user interacts with AI systems provides the usage data that informs AI literacy programs, helping organizations identify where training gaps exist and document the steps taken to close them.