This detection rule identifies multiple successive failed attempts by a single user to access denied machine learning models in AWS Bedrock, which could indicate attempts to bypass resource limitations or cause significant costs to the AWS environment. The rule utilizes an ESQL query that looks for specific error codes (AccessDeniedException) resulting from attempted invocations of various AI models. If the rule finds more than three denial attempts by the same user within a specified time window, it raises an alert, signifying potential abuse or misconfiguration. To respond to such alerts, it is recommended to investigate the user's account activity, verify the legitimacy of the attempts, and take appropriate incident response measures if necessary. The rule requires that proper guardrails are configured within AWS Bedrock to work effectively. The overall risk score assigned to this rule is high, reflecting the potential severity of the issue it monitors.