Open Source Agent Security Projects

Agent security focuses on protecting AI agents as they interpret instructions, use tools, access data, and take actions. Because agents can interact with external systems and make decisions across multiple steps, risks include prompt injection, unauthorized actions, data exposure, and misuse of connected tools. Security measures help enforce permissions, detect suspicious behavior, and test how agents respond to malicious or unexpected inputs.

Open source tools in this area include vulnerability scanners, policy and authorization controls, runtime monitoring, and security evaluation frameworks. When choosing one, consider its maturity, license, maintenance activity, supported agent frameworks, integration requirements, and how well its checks fit your threat model. These tools can help developers, security teams, and organizations building or operating AI agents reduce risk throughout development and deployment.