Generative AI has gone from a curiosity to a cornerstone of enterprise productivity in just a few short years. From copilots embedded in office suites to dedicated large language model (LLM) platforms, employees now rely on these tools to code, analyze, draft, and decide. But for CISOs and security architects, the very speed of adoption has created a paradox: the more powerful the tools, the more porous the enterprise boundary becomes. And here’s the counterintuitive part: the biggest risk isn’t that employees are careless with prompts. It’s that organizations are applying the wrong mental model when evaluating solutions, trying to retrofit legacy controls for a risk surface they were never designed to cover. A new guide (download here) tries to bridge that gap. The Hidden Challenge in…