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ModelRed is a security tool for AI systems that automates red teaming for LLMs and agents. It runs large sets of evolving attacks to surface weaknesses and show how prepared a system is for real-world threats.
ModelRed works with any “text in, text out” AI system. You can test models, AI agents, RAG pipelines, and custom APIs to catch issues before users do.
After a test run, ModelRed generates an AI Security Score and detailed vulnerability reports. Results include how many attacks were executed, what was found, severity, pass rate, and other robustness metrics.
Built for developers and security teams who need a quick pre-production check, ModelRed can be connected in minutes, then used to run testing campaigns and track progress through metrics and logs.