AIM Red is an automated AI red teaming solution designed to test and identify vulnerabilities in AI models and applications. The tool generates and executes attacks against AI systems with minimal input requirements, creating red team datasets through an automated attack pipeline. The platform supports multiple attack techniques including jailbreaking methods (Crescendo, Many-shot jailbreaking, Best-of-n jailbreaking, Pliny Jailbreak), prompt injection attacks, and various manipulation techniques (ASCII Smuggling, Data Format Manipulation, Command Overrides). It includes capabilities for testing against harmful content generation across different AI models. AIM Red provides customization options for attack strategies and topics, with scenarios optimized for specific AI models and domains. The tool automatically updates with AI red teaming techniques and delivers results with insights for decision-making. It reports attack success rates and tracks the average number of attempts required to successfully compromise AI systems. The solution is part of a broader suite that includes AIM Guard (guardrails) and AIM Supervisor (safety management), working together to test, monitor, and secure AI services throughout their lifecycle.