Generative AI has moved well beyond the stand-alone chatbot. It now drafts code, searches internal knowledge, reviews contracts, opens support cases and, in some deployments, takes action through connected tools. That broader role changes the security question. A tester is no longer looking only for a model that will say something it should not. The real concern is whether manipulated language can reach protected data or trigger an unauthorized business action.
That makes an LLM application closer to an attack graph than a single endpoint. Prompts, retrieval services, vector databases, identities, plug-ins, model gateways and downstream APIs all influence the final result. A conventional web...