AgentGuard is an open-source AI agent security testing tool designed to help developers assess the security of AI-powered applications and agentic systems.

I developed AgentGuard to support structured security assessments of authorized AI-agent endpoints, identify security weaknesses, and verify whether implemented fixes address the observed issues.

Key capabilities include:

• AI-agent endpoint security assessments. • Testing of authorization and access-control behavior. • Security findings with supporting evidence. • Comparison of vulnerable and corrected application behavior. • Local dashboard for reviewing and exporting security reports. • Automated security testing using Python.

The project helps development teams understand security risks in their AI applications and validate specific security improvements.

Technologies: Python, AI Agent Security, LLM Security, API Security, Security Automation.

Project: AgentGuard — Open Source Security Tool.