How to secure your AI agent skills

AI agents use various skills to complete tasks, but these tools can introduce serious security gaps. We put together a guide on how to build a safety pipeline using NVIDIA SkillSpector and LangGraph. This helps you catch problems before your agents go live.

Our system creates a testing area to scan for common threats like prompt injections and stolen credentials. It also checks for risky software dependencies. By using YARA rules, you can spot specific patterns that indicate a security risk.

The final step involves setting up automatic gates in your deployment process. If a skill does not pass the security audit, the system blocks it from being published. This keeps your AI tools safe and reliable.