AWS Bedrock Claude Unusually Large Prompts
This detection identifies unusually large prompts sent to AWS Bedrock Claude models by calculating the statistical baseline of input token counts and flagging requests that exceed one standard deviations above the…
Description
This detection identifies unusually large prompts sent to AWS Bedrock Claude models by calculating the statistical baseline of input token counts and flagging requests that exceed one standard deviations above the mean. Abnormally large prompts may indicate prompt injection attacks, data exfiltration attempts, or abuse of the AI service.
Detection logic
Detection requirements
- Platform
- LinuxmacOSWindows
The rule states no platform. This is derived from the ATT&CK technique it maps to.
- Log source category
- aws_bedrock_claude
Known benign triggers
- Possible false positives may arise from legitimate user interactions with the AI model that require large input prompts, such as complex queries or multi-turn conversations. It is important to review the context of the detected prompts to determine if they represent actual prompt injection attempts or benign usage.
MITRE ATT&CK mappings
0 exclusive techniques.This is coverage no other published rule has; it is not this rule's total technique count.
References
| Reference | Cited by |
|---|---|
| aws.amazon.com/blogs/apn/unlocking-the-power-of-splunk-with-amazon-bedrock-an-agentic-ai-approach-to-build-customized-splunk-assistants-using-bedrock-agents/ | 7 |
| docs.aws.amazon.com/bedrock/latest/userguide/model-invocation-logging.html | 8from 2 sources |
| help.splunk.com/en/splunk-observability-cloud/observability-for-ai/splunk-ai-infrastructure-monitoring/set-up-ai-infrastructure-monitoring/amazon-bedrock | 7 |
| research.splunk.com/stories/aws_bedrock_security/ | 7 |
From the source
- At source
- Open at source
- Upstream identifier
- 95fbdd4e-1202-4971-b85a-513b2005086e
- Tagged by the source as
- Suspicious AWS Bedrock Claude ActivitiesWeb ApplicationapplicationSplunk CloudSplunk EnterpriseSplunk Enterprise Securityendpoint
Licence
- Published under
- Apache License 2.0Read the licence
- Attribution
- Required
- Obtained under
- Apache-2.0Read the origin licence
Authorship
- Written by
- Published
- Aug 26, 2026
- Version
- 1