LLM Pentesting Checklist: Prompt Injection, Data Leakage, and Tool Abuse
LLM pentesting needs to cover more than the model's text output. A proper test scopes the model, its plugins, and its data sources. Then, it works through known risk categories, including prompt injection, data leakage, and tool abuse. Shipping an AI feature moves faster than most security processes were built to handle. A chatbot goes …
