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MITRE ATLAS Black-Box Optimization (AML.T0043.001) - Adversarial Black-Box Optimization threat to AI systems

This node addresses MITRE ATLAS technique AML.T0043.001 (Black-Box Optimization). In Black-Box attacks, the adversary has black-box (i.e. AI Model…

What MITRE ATLAS Black-Box Optimization (AML.T0043.001) - Adversarial Black-Box Optimization threat to AI systems requires

This node addresses MITRE ATLAS technique AML.T0043.001 (Black-Box Optimization). In Black-Box attacks, the adversary has black-box (i.e. AI Model Inference API Access via API access) access to the target model. With black-box attacks, the adversary may be using an API that the victim is monitoring. These attacks are generally less effective and require more inferences than White-Box Optimization attacks, but they require much less access. 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.T0043. ATLAS-mapped mitigations: AML.M0002 Passive AI Output Obfuscation, AML.M0003 Model Hardening, AML.M0004 Restrict Number of AI Model Queries, AML.M0006 Use Ensemble Methods, AML.M0010 Input Restoration, AML.M0015 Adversarial Input Detection, AML.M0019 Control Access to AI Models and Data in Production.

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: ceccf60ebf08ff0f8e64e3b0f28785db5a80d8ba8f14080c0f2cb6236254bc06

Primary Citations — 12 traced to source

  • MITRE ATLAS - Black-Box Optimization (AML.T0043.001), https://raw.githubusercontent.com/mitre-atlas/atlas-data/main/dist/ATLAS.yaml#AML.T0043.001, AML.T0043.001 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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