Data security posture management for AI: how to prepare your sensitive data
Image a repository nobody has fully mapped. Maybe it’s a shared drive left over from a reorg. Maybe it’s a database inherited from an acquisition. It sat there for years, technically reachable but practically ignored. Then someone connected an AI tool to it. Now it gets read on request, summarized, and cited in an answer. Nothing about the repository changed. What changed is that AI can now access and interpret it.
Getting that data ready for AI access comes down to four things. Find out what your repositories actually hold. Review who can already reach them. Cut what doesn’t need to stay. Protect what does. We’ve written about this in AI data protection: what models can’t unlearn. This piece is where this four-part checklist came from.
1. Find out what the repositories actually hold.
“It’s just the marketing drive” is a hypothesis, not an inventory. OpenText™ Voltage™ Data Security...
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