What MITRE ATLAS Corrupt AI Model (AML.T0076) - Adversarial Corrupt AI Model threat to AI systems requires
This node addresses MITRE ATLAS technique AML.T0076 (Corrupt AI Model). An adversary may purposefully corrupt a malicious AI model file so that it cannot be successfully deserialized in order to evade detection by a model scanner. The corrupt model may still successfully execute malicious code before deserialization fails. 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:
Primary source: https://raw.githubusercontent.com/mitre-atlas/atlas-data/main/dist/ATLAS.yaml
SHA-256 integrity: 01cf1d56d6e4a2f991a190f599cced5325a75777199f1462361a8dcd657b7731
Primary Citations — 5 traced to source
- MITRE ATLAS - Corrupt AI Model (AML.T0076), https://raw.githubusercontent.com/mitre-atlas/atlas-data/main/dist/ATLAS.yaml#AML.T0076, AML.T0076 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
+ 3 more citations (full bibliography, deterministic workflow, actionable schema and crosswalks) included in the vault unlock — $0.01 via Skyfire / L402 / Direct Base USDC.
Access
- Discovery (free): /api/v1/nodes/mitre-atlas-corrupt-ai-model.json — 6-field metadata
- Vault (full node): /api/v1/vault/nodes/mitre-atlas-corrupt-ai-model.json — full 13-key payload, $0.01 USDC (L402/Skyfire/Direct Base)
- Canonical URL: https://bidda.com/intelligence/mitre-atlas-corrupt-ai-model
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