DeepTeam: Open-source LLM red teaming framework
Summary
DeepTeam is an open-source framework designed to test large language models for vulnerabilities before they are deployed to users. By simulating attacks and evaluating outcomes, it aims to enhance the security of these models, addressing the urgent need for effective red teaming methods in the rapidly evolving landscape of AI. This tool provides security teams with a proactive approach to identifying weaknesses in language models.
Original Article Summary
Security teams are pushing large language models into products faster than they can test them, which makes any new red teaming method worth paying attention to. DeepTeam is an open-source framework built to probe these systems before they reach users, and it takes a direct approach to exposing weaknesses. The tool runs on a local machine and uses language models to simulate attacks as well as evaluate the results. It applies techniques drawn from recent … More → The post DeepTeam: Open-source LLM red teaming framework appeared first on Help Net Security.
Impact
Large language models
In the Wild
No
Timeline
Newly disclosed
Remediation
Use DeepTeam framework for testing and evaluating language models