What MITRE ATLAS Mitigation AI Model Distribution Methods (AML.M0017) - AI Model Distribution Methods to Reduce Extraction Risk requires
This node operationalises MITRE ATLAS mitigation AML.M0017 (AI Model Distribution Methods). Deploying AI models to edge devices can increase the attack surface of the system. Consider serving models in the cloud to reduce the level of access the adversary has to the model. Also consider computing features in the cloud to prevent gray-box attacks, where an adversary has access to the model preprocessing methods. It maps the mitigation to EU AI Act, NIST AI RMF, and ISO/IEC 42001 obligations and drives a 10-gate verification workflow that an AI agent can execute against any production system.
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: aa6d63a69044599338ee48906efb5fdd05e3efdba712ba1fbeef2d3021725aed
Primary Citations — 5 traced to source
- MITRE ATLAS - AI Model Distribution Methods (AML.M0017), https://raw.githubusercontent.com/mitre-atlas/atlas-data/main/dist/ATLAS.yaml#AML.M0017, AML.M0017 mitigation 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-mitigation-ai-model-distribution-methods.json — 6-field metadata
- Vault (full node): /api/v1/vault/nodes/mitre-atlas-mitigation-ai-model-distribution-methods.json — full 13-key payload, $0.01 USDC (L402/Skyfire/Direct Base)
- Canonical URL: https://bidda.com/intelligence/mitre-atlas-mitigation-ai-model-distribution-methods
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