SubTechniqueimpactATLAS

AML.T0034.000Excessive Queries

What it is

Adversaries may send an excessive number of otherwise normal or low-complexity queries to an AI system with the goal of overwhelming its capacity and increasing operating costs. The attacker can automate high-volume request generation, exploiting rate limits, autoscaling policies, and pay-per-use billing models to drive sustained resource consumption without relying on specially crafted, computationally expensive inputs. This behavior can also lead to increased latency, request queuing, and service degradation or unavailability for legitimate users, as the system struggles to process the inflated traffic.

References

  1. https://atlas.mitre.org/techniques/AML.T0034.000

Related by meaning· 6

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

ATLAS
Cost Harvesting
ATLAS
Denial of AI Service
ATLAS
Spamming AI System with Chaff Data
ATLAS mitigation
Restrict Number of AI Model Queries
ATLAS
LLM Data Leakage
ATLAS
Data from AI Services
Sourced from MITRE ATLAS — Adversarial Threat Landscape for AI Systems. Curated by Adam Lundqvist, SQUR.