TechniqueimpactATLAS

AML.T0029Denial of AI Service

What it is

Adversaries may target AI-enabled systems with a flood of requests for the purpose of degrading or shutting down the service. Since many AI systems require significant amounts of specialized compute, they are often expensive bottlenecks that can become overloaded. Adversaries can intentionally craft inputs that require heavy amounts of useless compute from the AI system.

References

  1. https://atlas.mitre.org/techniques/AML.T0029

Related by meaning· 6

Nearest entities by semantic similarity across the cs-graph corpus.

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Data Destruction via AI Agent Tool Invocation
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Erode AI Model Integrity
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Data from AI Services
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Cost Harvesting
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Spamming AI System with Chaff Data
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AI Agent Tool Data Poisoning
Sourced from MITRE ATLAS — Adversarial Threat Landscape for AI Systems. Curated by Adam Lundqvist, SQUR.