An AI/LLM penetration test focuses on identifying vulnerabilities within artificial intelligence and large language model systems, including potential for data poisoning, prompt injection, and model evasion. It simulates adversarial attacks to assess the robustness of these systems against malicious manipulation and unauthorized access to sensitive information. The objective is to provide actionable insights for developing secure AI/LLM deployments, mitigating risks of misuse, and ensuring the reliability and trustworthiness of these technologies.