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MITRE ATLAS Spamming AI System with Chaff Data (AML.T0046) - Adversary Spamming of AI System with Chaff Data to Degrade Service

This node addresses MITRE ATLAS technique AML.T0046 (Spamming AI System with Chaff Data). Adversaries may spam the AI system with chaff data that causes…

What MITRE ATLAS Spamming AI System with Chaff Data (AML.T0046) - Adversary Spamming of AI System with Chaff Data to Degrade Service requires

This node addresses MITRE ATLAS technique AML.T0046 (Spamming AI System with Chaff Data). Adversaries may spam the AI system with chaff data that causes increase in the number of detections. This can cause analysts at the victim organization to waste time reviewing and correcting incorrect inferences. Adversaries may also spam AI agents with excessive low-severity auditable events or agentic actions that require a human-in-the-loop, wasting time for the victim organization in human review of the agentic AI system. 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: af7cacb3480a53a0efcdd06986cd3a067d939e87e7afb7f67485e0f8ddc382a3

Primary Citations — 8 traced to source

  • MITRE ATLAS - Spamming AI System with Chaff Data (AML.T0046), https://raw.githubusercontent.com/mitre-atlas/atlas-data/main/dist/ATLAS.yaml#AML.T0046, AML.T0046 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

+ 6 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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