AEGIS Framework Unveiled: A Comprehensive Blueprint for Trust in AI Systems
The AEGIS Framework, a comprehensive blueprint for building trust in AI systems, has been unveiled. It maps to numerous regulatory references, providing broad coverage and aligning with major frameworks.
The AEGIS Framework boasts impressive mapping to various regulatory references. Controls like GRC-01, GRC-08, DATA-01, DEV-01, and GRC-02 each map to 20 or more references, offering wide coverage with fewer controls.
NIST contributes significantly with 49 references, anchoring risk management and monitoring. OWASP adds 41 references, focusing on AI-specific threats such as prompt injection and data leakage. Notably, 80% of AEGIS's 39 substantive controls map to four or more major frameworks.
MITRE ATLAS maps to 20 controls, cataloging adversarial techniques and mitigations. The EU AI Act tops the list with 80 distinct references, spanning transparency, human oversight, and lifecycle risk. OWASP appears in 34 controls, and the EU AI Act in 29, forming a secondary cluster of critical but not universal frameworks.
Fifteen controls map to all five of NIST AI RMF, the EU AI Act, OWASP Top 10 for LLMs, MITRE ATLAS, and ISO/IEC 42001:2023. Every single control in AEGIS references NIST's AI Risk Management Framework and ISO/IEC 42001:2023.
The AEGIS Framework, developed by researchers from the University of Trento, provides a robust, regulation-aware blueprint for AI system development. Its extensive mapping to major frameworks and regulatory references ensures comprehensive coverage and alignment with industry standards.
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