The AWS Bedrock detection rule identifies instances where a single user encounters multiple validation exception errors while invoking models through the AWS Bedrock service. This situation arises when the user utilizes improper inference parameters or mismatches the API requirements between different models, signaling possible attempts to exploit the system or unintentionally misuse the service. The rule employs ESQL to scan invocation logs for instances of 'ValidationException', counting occurrences over a defined time frame (1 minute) to flag users exceeding three validation errors. Given the risks associated with unauthorized use and potential for inflated costs related to excessive model invocation, this rule is classified as high severity. Analysts are advised to investigate the user account responsible for the validation issues, assess surrounding alert activities, and consider the normalcy of access times. Remediation steps include verifying user permissions and potential misuse, initiating incident response processes depending on investigation findings, and ensuring compliance with the least privilege principle for user roles in the cloud environment.