Redbot Security AI Security Testing is a professional penetration testing service focused on identifying security vulnerabilities within AI and machine learning systems. The service targets AI-specific attack surfaces including large language models (LLMs), machine learning pipelines, and AI-integrated applications. The service covers a range of AI-specific threat scenarios, including prompt injection attacks, model inversion, data poisoning, adversarial inputs, and insecure API exposure. Testing is conducted by human security professionals who assess the target AI environment and attempt to exploit weaknesses in model behavior, training data handling, and inference infrastructure. Engagements are structured to evaluate both the AI components directly and the surrounding application and infrastructure layers that support them. This includes reviewing how models are deployed, how data flows through pipelines, and how access controls are enforced around AI endpoints. Upon completion, clients receive documented findings with identified vulnerabilities, risk ratings, and remediation guidance tailored to AI system contexts.