Record summary
A quick snapshot of what this page covers.
Attack context
How this AI attack works in practice.
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.
- ATLAS ID
- AML.T0034.000
- Priority score
- 10
Mitigations
Defenses that may help against this attack.
Case studies
Examples from public reports and exercises.
Source
Where this page information comes from.
Original source
Original source links
Open the public records and source datasets used for this page.