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MITRE ATLAS AI Model Fingerprinting for Targeted Adversarial Attack Preparation (AML.T0014) - Compliance Obligations for AI Model Identification Prevention, API Response Consistency Controls, and Adversarial Profiling Detection

This node addresses compliance obligations to prevent ML model fingerprinting under MITRE ATLAS technique AML.T0014, focusing on AI model identification…

What MITRE ATLAS AI Model Fingerprinting for Targeted Adversarial Attack Preparation (AML.T0014) - Compliance Obligations for AI Model Identification Prevention, API Response Consistency Controls, and Adversarial Profiling Detection requires

This node addresses compliance obligations to prevent ML model fingerprinting under MITRE ATLAS technique AML.T0014, focusing on AI model identification prevention and adversarial profiling detection as mandated by the EU AI Act (Articles 5, 15, and 50). It outlines controls for API response consistency and risk mitigation strategies aligned with high-risk AI system requirements.

Pillar: AI Governance & Law · Authority: MITRE Corporation · Version: 1.0.1 · Last updated:

Primary source: https://raw.githubusercontent.com/mitre-atlas/atlas-data/main/dist/ATLAS.yaml#AML.T0014

SHA-256 integrity: 9a77a963d1e68eca6f70b41b7c2812e6074542ba93aa265dc0e9c709b0a57078

Primary Citations — 5 traced to source

  • EU AI Act - Regulation (EU) 2024/1689, https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689, Article 5 - Prohibited AI Practices, 2024
  • EU AI Act - Regulation (EU) 2024/1689, https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689, Article 15 - High-Risk AI Systems Requirements, 2024

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