REGULATION (EU) 2024/1689

EU AI Act

How AgentAuditLabs aligns with the European Union Artificial Intelligence Act, including risk classification, transparency, and conformity assessment requirements.

OVERVIEW

Why this matters

The EU AI Act (Regulation (EU) 2024/1689) establishes a risk-based regulatory framework for AI systems. AAL provides independent, signal-based trust scoring that directly supports compliance with the Act's transparency, documentation, and risk management requirements.

AAL's Universal Trust Score protocol operates on a 0–100 scale with six tiers (Unrated, Bronze, Silver, Gold, Platinum, Diamond), providing a standardized metric for AI agent trustworthiness assessment.

RISK_CLASSIFICATION

Evidence inputs

The Act categorizes AI systems into Unacceptable, High-Risk, Limited Risk, and Minimal Risk. AAL's signal-based approach provides evidence for risk classification through:

◆Security signals from OWASP Top 10 threat testing (aal_owasp)
◆Reliability signals from uptime and performance monitoring (aal_reliability)
◆Third-party attestations from independent evaluators (mnemom, tumeryk, trusta_ai, ...)
◆On-chain identity verification via ERC-8004 and Solana SEAL

ARTICLE_MAP

Implementation alignment

EU AI Act Requirement	AAL Implementation
Risk management (Art. 9)	Signal-based scoring with 0-100 scale and tier classification
Data governance (Art. 10)	Append-only event sourcing, Ed25519 signatures
Transparency (Art. 13)	Open scoring formula, confidence distributions
Human oversight (Art. 14)	Calibration log, manual override via score_events
Accuracy & robustness (Art. 15)	Multi-source coverage factor, recency decay
Conformity assessment (Art. 43)	Reproducible scores from event replay

DISCLAIMER

AgentAuditLabs provides trust scoring data and tooling. AAL scores are informational and do not constitute legal advice or a formal conformity assessment under the EU AI Act. Organizations should consult qualified legal counsel for compliance determinations.