A static analysis tool that detects OWASP ASI Top 10 vulnerabilities in AI agent codebases.
AgentGuard scans AI agent code for 10 OWASP ASI vulnerabilities—prompt injection, tool abuse, credential exposure—with CI/CD and GitHub Action integration. For teams deploying agents, it closes the gap between traditional SAST and LLM-specific risks, reducing production exposure.
The Problem
AI agents are being deployed at scale — in customer support, code generation, data analysis, and autonomous workflows. But the code that powers these agents is rarely security-audited.
Consider this pattern, common in production agent codebases:
user_input = request.json()["prompt"]
prompt = f"You are a helpful assistant. {user_input}"
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How AgentGuard detects OWASP ASI Top 10 vulnerabilities -- from regex patterns to AST-based taint tracking.
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