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MITRE ATLAS AI Intellectual Property Theft (AML.T0048.004) - Adversarial AI Intellectual Property Theft threat to AI systems

This node addresses MITRE ATLAS technique AML.T0048.004 (AI Intellectual Property Theft). Adversaries may exfiltrate AI artifacts to steal intellectual…

What MITRE ATLAS AI Intellectual Property Theft (AML.T0048.004) - Adversarial AI Intellectual Property Theft threat to AI systems requires

This node addresses MITRE ATLAS technique AML.T0048.004 (AI Intellectual Property Theft). Adversaries may exfiltrate AI artifacts to steal intellectual property and cause economic harm to the victim organization. Proprietary training data is costly to collect and annotate and may be a target for Exfiltration and theft. AIaaS providers charge for use of their API. An adversary who has stolen a model via Exfiltration or via Extract AI Model now has unlimited use of that service without paying the owner of the intellectual property. Defending against this technique is required under EU AI Act, NIST AI RMF, and ISO/IEC 42001 obligations; this node operationalises the documented ATLAS mitigations and cross-instrument controls into a deterministic verification workflow. Sub-technique of ATLAS AML.T0048. ATLAS-mapped mitigations: AML.M0005 Control Access to AI Models and Data at Rest, AML.M0012 Encrypt Sensitive Information, AML.M0017 AI Model Distribution Methods.

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

SHA-256 integrity: d3b80cecb14e8dadc829a4c1f9d51f0caeb8dececda411576ca0cdbc66712053

Primary Citations — 8 traced to source

  • MITRE ATLAS - AI Intellectual Property Theft (AML.T0048.004), https://raw.githubusercontent.com/mitre-atlas/atlas-data/main/dist/ATLAS.yaml#AML.T0048.004, AML.T0048.004 technique entry, 2026
  • EU AI Act - Regulation (EU) 2024/1689 on Artificial Intelligence, https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689, Article 15 (Accuracy, Robustness, Cybersecurity), 2024

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