AgentFence
AgentFence is an open-source platform designed to automatically test the security of AI agents. It helps developers and security researchers identify vulnerabilities such as prompt injection, secret leakage, and system instruction exposure.
Key Features:
- Automated AI Security Probing: Test your AI models against predefined security probes.
- Multiple Attack Scenarios: Identify vulnerabilities like prompt injection, role confusion, and system instruction leakage.
- Extensible Architecture: Easily add new probes and evaluation methods.
- Supports Popular AI SDKs: Initial support for LangChain and OpenAI, with more planned.
Benefits:
- Proactive Security: Secure AI systems before attackers exploit them.
- Automation: Automate adversarial AI testing and red team evaluations.
- Compliance: Ensure AI systems meet security best practices before deployment.
Highlights:
- Ideal for AI Developers, ML Engineers, and Security Researchers.
- Open-source contributions are welcome, fostering community collaboration.
- Released under the MIT License, promoting free use and distribution.