GenAI DLP means data loss prevention adapted for generative AI tools. It inspects prompts, uploaded files, pasted text, and sometimes outputs to detect sensitive data such as secrets, customer records, source code, or regulated information before it leaves approved systems.
This matters because employees often use chatbots, copilots, and AI agents inside normal workflows, where a simple “do not share confidential data” policy is not enough. GenAI DLP helps security teams discover shadow AI use, classify what is being sent to models, and block or redact risky content in real time. In defense, it can enforce rules like stopping API keys from entering prompts or preventing confidential documents from being attached to external AI services. In attacks, the same visibility helps spot prompt abuse, data exfiltration, and unsafe tool use through connected agents. Used well, GenAI DLP turns AI adoption from a blind spot into a monitored control point.