ModelRed

ModelRed is an AI Security and Red Teaming Platform designed to help fortify AI models through adaptive red teaming, a process where it simulates potential attacks to identify vulnerabilities. The platform provides an ongoing penetration testing environment for Large Language Models (LLMs) and AI agents, probing for a range of risk factors from prompt injections to data exfiltration and hazardous tool calls. Moreover, ModelRed offers comprehensive tools to enhance AI security effectively. These include versioned probe packs that can lock attack patterns to definite versions, Detector-Based Verdicts to judge the LLM responses across categories, and AI safety checks that function as unit tests. It also incorporates governance features, allowing clear ownership and changes history with integrated audit trails. With an easy-to-integrate Developer SDK, users can quickly incorporate AI security into their systems. ModelRed can provide insights and verdicts that are not only reliable but also easy to review, export, and share with stakeholders. Supported by compatibility with all major AI providers like OpenAI, Anthropic, AWS, Bedrock, and Azure, among others, ModelRed is designed to bolster AI security and ensure the robustness of model releases against real-world threats.