The EU AI Act
The EU Artificial Intelligence Act (EU AI Act) is the world’s first binding regulation for Artificial Intelligence, establishing legal accountability for how AI systems are designed, deployed, and used. AI compliance is no longer optional; it is now a market access requirement.
AI Compliance Testing & Certification
Compliance Framework
EU AI Act requirements to harmonised European standards and international control frameworks.
VIEW COMPLIANCE FRAMEWORK →Readiness Model
Training, Awareness, Gap Analysis, and Compliance Enablement services mapped to EU AI Act clauses.
View Service Model →Systems in Scope
Applicability for LLMs, Generative AI, Biometric systems, Agentic AI, and Classical Machine Learning.
View Scope Details →Risk Classification
Structured assessment to determine whether the AI system falls under High-Risk, Limited-Risk, or prohibited categories.
VIEW CLASSIFICATION MODEL →High-Risk AI Obligations
Mandatory requirements for High-Risk AI systems under Articles 9–15 of the EU AI Act.
VIEW REQUIREMENTS →ProventAI
Audit-ready AI validation with clause-level mapping and immutable evidence for continuous compliance.
View Platform Specs →Key Compliance Timeline
Feb 2, 2025
General provisions and prohibitions applied
Aug 2, 2025
GPAI rules applied and governance established
Aug 2, 2026
Rules come into force and enforcement starts
Transform Your AI Governance
Get independent validation your enterprise can trust and regulators can verify
CNLABS EU AI Act Readiness Model
1. Training & Awareness
Role-based sessions to help organisations:
- Understand applicability and non-applicability
- Align legal, compliance, product, and AI teams
- Identify responsibilities across business units
2. Pre-Compliance & Gap Analysis
- AI system inventory and scoping
- Risk classification aligned to the EU AI Act
- Testing mapped to EU AI Act clauses and gap analysis for Articles 9-15
3. Compliance Enablement
- Evidence generation as per Annexe-IV requirements of AIA
- Audit-ready documentation
- Ongoing monitoring support
CNLABS AI Validation Platform
Operationalising EU AI Act Compliance
Our AI Validation Platform is built specifically to support audit-ready EU AI Act compliance, not just AI testing.
What makes it different:
- Clause-level mapping of validation results to EU AI Act obligations
- Independent, vendor-neutral validation architecture
- Immutable evidence and full traceability
- Support for LLMs, multimodal, and agentic AI systems
- Designed for continuous compliance, not one-off checks
Standards-Driven EU AI Act Compliance
CNLABS enables EU AI Act compliance by translating regulatory obligations into technical validation using harmonised European standards and recognised international frameworks. This turns legal requirements into measurable, testable, and auditable controls.
Regulatory Coverage
Validation addresses core EU AI Act obligations for high-risk AI systems, including risk and quality management, data governance and bias controls, Annex IV technical documentation, and system reliability.
Harmonised European Standards
Compliance is verified using emerging EN standards under CEN/CENELEC JTC 21, which define technical controls for AI risk management, data quality, robustness, transparency, and AI quality management.
International Framework Alignment
Compliance evidence is aligned with ISO/IEC standards for AI governance, risk management, cybersecurity, privacy, and software quality to ensure traceability and audit readiness.
Practical Compliance Delivery
CNLABS delivers clause-level mapping, standards-based testing, and structured evidence generation to support conformity assessment and regulatory review.
Risk Classification & Applicability
The EU AI Act applies differently depending on the risk profile of the AI system.
How CNLABS Supports Organisations
- Identify all AI systems in operation
- Map use cases to EU AI Act categories
- Determine High-Risk classification triggers
- Assess GPAI obligations where applicable
- Document applicability and non-applicability decisions
- Establish defensible regulatory positioning
Why Classification Matters
Without proper classification, compliance efforts may be misdirected or incomplete. Risk clarity is the foundation of AI Act readiness and ensures accurate regulatory alignment from the start.
High-Risk AI Obligations
The EU AI Act imposes strict mandatory requirements on High-Risk AI systems, particularly under Articles 9–15, covering governance, transparency, and technical robustness.
Key Obligations for High-Risk AI Systems
- Comprehensive risk management system
- High-quality data governance and bias controls
- Technical documentation and audit-ready evidence
- Transparency and human oversight mechanisms
- Accuracy, robustness, and cybersecurity validation
- Post-market monitoring and lifecycle compliance
CNLABS Compliance Approach
CNLABS provides clause-level testing, structured validation, and documentation aligned with EU AI Act requirements to support conformity assessment and regulatory review.
AI Systems in Scope
- LLMs and Generative AI
- Decision-making and scoring systems
- Biometric, vision, voice, and multimodal AI
- Agentic AI systems
- Classical ML (credit scoring, fraud detection, recommendations)