EU AI Act
Risk classification
The EU AI Act categorises AI systems into four risk levels:
- Unacceptable risk (banned) – social scoring by governments, real-time remote biometric identification in public spaces (with limited exceptions), manipulation techniques that exploit vulnerabilities, and emotion recognition in workplaces and education
- High risk – AI systems in critical areas including biometric identification, critical infrastructure management, education and employment decisions, essential services access, law enforcement, and border control. These require conformity assessments, risk management systems, data governance, transparency, and human oversight
- Limited risk – AI systems with specific transparency obligations, including chatbots (must disclose they are AI), emotion recognition systems, and deep fake generators
- Minimal risk – the majority of AI systems, such as AI-enabled spam filters and recommendation systems, which face no specific obligations
Obligations for high-risk AI
Providers of high-risk AI systems must implement a risk management system maintained throughout the AI system’s lifecycle, ensure training data meets quality criteria for relevance, representativeness, and accuracy, maintain technical documentation sufficient for conformity assessment, enable logging and traceability of AI system operations, provide clear information to deployers about the system’s capabilities and limitations, design for effective human oversight, and achieve appropriate levels of accuracy, robustness, and cybersecurity.
EU AI Act and the UK
The UK has not adopted equivalent AI legislation. The UK government has pursued a sector-specific, principles-based approach to AI regulation rather than horizontal legislation. However, UK organisations are affected by the EU AI Act where they place AI systems on the EU market (including via SaaS), their AI systems make decisions about EU residents, or they supply AI components to organisations subject to the Act.
The intersection with ISO 42001 (the international standard for AI management systems) provides a structured pathway for organisations seeking to demonstrate responsible AI governance that satisfies both EU regulatory requirements and international best practice.
Cyberfort Group and the EU AI Act
We help organisations assess their AI systems against the EU AI Act’s risk classification and implement the security, governance, and documentation requirements for high-risk AI. Our AI security services include AI risk assessment, security testing of AI/ML systems, and alignment with ISO 42001. Learn more about our AI security services →
Related terms
- ISO 42001 – the international standard for AI management systems, providing a structured approach to AI governance
- LLM security testing – security assessment of large language models, relevant to high-risk AI compliance
- Secure by Design – the development principle that supports the AI Act’s requirement for security by design in high-risk AI
External references
- Wikipedia: Artificial Intelligence Act – legislative history and overview
- EUR-Lex: Regulation (EU) 2024/1689 – full legislative text
- European AI Office – EU body overseeing AI Act implementation
- Wikidata: Q104127753 – canonical entity identifier
Frequently asked questions
Does the EU AI Act apply to UK companies?
The EU AI Act applies to any organisation that places an AI system on the EU market or whose AI system’s output is used in the EU, regardless of where the organisation is established. UK companies selling AI-enabled products or services to EU customers are in scope.
When does the EU AI Act come into force?
The AI Act follows a phased timeline. Prohibitions on unacceptable-risk AI applied from February 2025. Obligations for general-purpose AI models apply from August 2025. High-risk AI system requirements apply from August 2026. The full regulation is enforceable from August 2027.
What is the penalty for non-compliance?
Penalties range from 7.5 million to 35 million euros, or 1% to 7% of global annual turnover, depending on the severity of the infringement and the size of the organisation.
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