Elastic Security Detection Rules

AWS Bedrock High Tool-Request Call Volume

Last updated a day ago on 2026-11-06
Created 15 days ago on 2026-10-23

About

A machine learning job has detected an unusually high number of tool-requesting Amazon Bedrock model responses within 15 minutes for a caller, compared with that caller's own history. High call volume can indicate repeated over-invocation or loop amplification by an AI agent (OWASP ASI02, Tool Misuse and Exploitation) and can lead to resource exhaustion and cost. The volume counts responses that requested tools, not confirmed tool executions.
Tags
Domain: GenAIData Source: AWS BedrockPlatform: AWSService: AWS BedrockUse Case: Security for AIRule Type: Machine LearningRule Type: MLTactic: ExecutionTactic: ImpactMitre Atlas: AML.T0053Mitre Atlas: AML.T0034
Severity
medium
Risk Score
47
False Positive Examples
A legitimate spike in agent usage, such as a batch job, a load test, a launch, or a retry storm, can produce a high volume of tool-requesting responses. Confirm with the agent owner. A newly onboarded caller has little history, so early bursts can look unusual until the model has learned its normal range.
License
Elastic License v2(external, opens in a new tab or window)

Definition

Rule Type
Machine Learning
Integration Pack
Prebuilt Security Detection Rules
Related Integrations

security_ai(external, opens in a new tab or window)

aws_bedrock(external, opens in a new tab or window)

Query
text code block:

Install detection rules in Elastic Security

Detect AWS Bedrock High Tool-Request Call Volume in the Elastic Security detection engine by installing this rule into your Elastic Stack.

To setup this rule, check out the installation guide for Prebuilt Security Detection Rules(external, opens in a new tab or window).