
Kethamak developed a production-ready Amazon Bedrock Guardrails Demo for the aws-samples/amazon-bedrock-samples repository, focusing on securing AI agents against a range of attack scenarios. Using Python and leveraging AI development and security engineering skills, Kethamak implemented the ApplyGuardrail API to provide input and output protection, including tool output safeguards via AfterToolCallEvent hooks. The demo addressed six distinct attack vectors such as prompt leakage and jailbreak, and incorporated PII anonymization to enhance data privacy. Integration of the Strands SDK and Claude Sonnet 4 model enabled realistic demonstrations, resulting in a comprehensive, security-focused feature that deepened the repository’s practical value.
December 2025 monthly summary for aws-samples/amazon-bedrock-samples: Delivered the Amazon Bedrock Guardrails Demo implementing the ApplyGuardrail API to secure AI agents. The demo covers input/output protection, tool output protection via AfterToolCallEvent hooks, and PII anonymization, across six attack scenarios (prompt leakage, task hijacking, task override, tool poisoning, jailbreak). Integrated Strands SDK and Claude Sonnet 4 model. Producing a production-ready demo committed to the repository.
December 2025 monthly summary for aws-samples/amazon-bedrock-samples: Delivered the Amazon Bedrock Guardrails Demo implementing the ApplyGuardrail API to secure AI agents. The demo covers input/output protection, tool output protection via AfterToolCallEvent hooks, and PII anonymization, across six attack scenarios (prompt leakage, task hijacking, task override, tool poisoning, jailbreak). Integrated Strands SDK and Claude Sonnet 4 model. Producing a production-ready demo committed to the repository.

Overview of all repositories you've contributed to across your timeline