MITRE ATLAS Evade AI Model (AML.T0015) - Adversarial Evasion of AI Model Classification at Inference Time

What MITRE ATLAS Evade AI Model (AML.T0015) - Adversarial Evasion of AI Model Classification at Inference Time requires

This node addresses MITRE ATLAS technique AML.T0015 (Evade AI Model). Adversaries can Craft Adversarial Data that prevents an AI model from correctly identifying the contents of the data or Generate Deepfakes that fools an AI model expecting authentic data. This technique can be used to evade a downstream task where AI is utilized. The adversary may evade AI-based virus/malware detection or network scanning towards the goal of a traditional cyber attack. AI model evasion through deepfake generation may also provide initial access to systems that use AI-based biometric authentication. 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.

Pillar: AI Governance & Law · Authority: MITRE Corporation · Version: 1.0.1 · Last updated: 2026-07-22

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

SHA-256 integrity: 9facc020421fc32393f14135de62a207ac38c6053990b615c6a254d75ef92fa8

Primary Citations — 12 traced to source

• MITRE ATLAS - Evade AI Model (AML.T0015), https://raw.githubusercontent.com/mitre-atlas/atlas-data/main/dist/ATLAS.yaml#AML.T0015, AML.T0015 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

+ 10 more citations (full bibliography, deterministic workflow, actionable schema and crosswalks) included in the vault unlock — $0.01 via Skyfire / L402 / Direct Base USDC.

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• Canonical URL: https://bidda.com/intelligence/mitre-atlas-evade-ai-model
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