Vulnerabilities related to output generated by artificial intelligence systems: prompt injection, data leakage through model responses, hallucinations exploitable for disinformation, exposure of sensitive information from the training set, output manipulation to bypass policies, or generation of harmful content. Covers testing, mitigation, and output validation techniques in GenAI and LLM applications.