Protect sensitive data without slowing down AI adoption
If you’re responsible for data security, you’re facing a version of this problem right now. Employees are passing content into AI assistants, connecting AI tools to shared drives, and building AI features into products, often faster than you can review it if you are even asked to review it at all. You want to support AI adoption, not block it. But you also can’t say yes to every request without knowing what sensitive data might be exposed.
That’s the position a lot of data security and privacy teams find themselves in today.
Where your risk actually comes from
Data risk isn’t always one big mistake. It’s more like a vase with hairline fractures — no single crack breaks it, but enough small ones will. For example, a customer support export with personal data pasted into a chatbot for a quick summary, a shared drive full of contracts connected to an...
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