Security teams are rapidly integrating large language models into products, highlighting the need for effective red teaming methods. DeepTeam, an open-source framework, offers a proactive solution by identifying vulnerabilities in these systems before user deployment. Running locally, it simulates attacks using language models and evaluates system responses, applying techniques from recent research on jailbreaking and prompt injection to uncover biases and potential data exposures. With support for various model setups, including chatbots and retrieval augmented generation pipelines, DeepTeam identifies over 80 vulnerability types. Users can create custom tests that are automatically registered for ongoing risk assessments. This tool not only enhances security but also provides actionable guardrails to mitigate issues in production systems. Available for free on GitHub, DeepTeam is essential for organizations aiming to ensure safe AI deployment. Stay updated with open-source cybersecurity tools by subscribing to the Help Net Security newsletter.
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