THE REGULATORY EXPOSURE
The EU AI Act imposes €35M fines or 7% of global annual turnover for non-compliance with its high-risk AI provider requirements. The Act applies to all organizations deploying high-risk AI systems in the EU, including those in healthcare, finance, legal, and government sectors. High-risk AI systems are defined in Annex I of the EU AI Act and include applications such as:
- Healthcare: AI for patient diagnosis or treatment recommendations.
- Finance: AI for credit scoring or fraud detection.
- Legal: AI for legal research or contract analysis.
- Public Sector: AI for law enforcement or administration of justice.
Enforcement begins 2026, with the first fines expected to be issued in 2027.
STRUCTURAL REQUIREMENTS
The EU AI Act mandates the following for high-risk AI systems:
- Risk Management System: Organizations must implement a documented risk management system to identify, analyze, and mitigate risks throughout the AI system’s lifecycle (Article 9).
- Data Governance: Training, validation, and testing data sets must be documented and compliant with EU data protection laws (Article 10).
- Technical Documentation: Organizations must maintain detailed technical documentation to demonstrate compliance (Article 11).
- Human Oversight: High-risk AI systems must include mechanisms for human oversight to prevent or minimize harm (Article 14).
- Immutable Logging: All AI interactions must be logged and retained for at least 10 years (Article 12).
COMMON FAILURE MODES
Traditional compliance approaches fail to meet the EU AI Act’s requirements due to:
- Lack of Risk Management: Manual processes cannot identify or mitigate risks at the scale required for high-risk AI systems.
- Incomplete Documentation: Aspirational governance lacks the detailed technical documentation required to prove compliance.
- No Real-Time Enforcement: Post-hoc audits cannot prevent harm or ensure compliance with human oversight requirements.
- Cross-Border Gaps: Organizations operating in multiple jurisdictions often fail to align with EU-specific requirements.
RTFCT MECHANISM
RTFCT’s architecture addresses the EU AI Act’s requirements as follows:
- Forge: Provides immutable audit trails for all AI interactions, exceeding the Act’s 10-year retention requirement.
- Interceptor: Enforces real-time risk management and human oversight policies, ensuring compliance at inference time.
- Sovereign Vault: Stores training data and documentation in EU-based infrastructure, ensuring compliance with data governance requirements.
- Gateway: Centralizes compliance reporting for the EU AI Act and other regulations.