Show HN: Temper Labs – open-source security testing for AI agents (temperlabs.dev)

Temper Labs has launched an open-source security testing framework specifically designed for AI agents, providing developers with essential tools to assess vulnerabilities in their systems. This initiative allows users to probe whether AI agents will securely manage sensitive data, obey permissions, and resist unauthorized actions. The testing framework categorizes potential threats into four distinct areas: data exfiltration, unauthorized actions, persistence, and reconnaissance, with a total of 13 identified attack vectors. This development is significant for the AI/ML community as it addresses a critical gap in the security landscape concerning AI systems. With the increasing deployment of AI agents in various applications, ensuring their resilience against exploitation is paramount. By making this tool available for free, Temper Labs empowers developers to enhance the security and integrity of their AI applications, fostering more robust and trustworthy deployments across the board. The inclusion of models from OpenAI, Anthropic, and Mistral further enriches the framework, helping users evaluate diverse AI architectures against real-world threats.