The 9-Step Guide to Data Security Governance
Sensitive data has a habit of wandering. One minute it’s minding its own business in a folder. Then it’s copied into five places, shared with “anyone with the link,” and showing up inside an AI workflow nobody ever approved.
If you think access permissions and a quarterly review are enough to keep sensitive data under control, your data has already left the group chat.
What You’ll Learn:
- The nine steps that turn data sprawl into an actual governance program
- How to find sensitive data hiding across SaaS, cloud drives, on-prem systems, and AI workflows
- Why classification based on meaning beats regex every time
- Where risk really starts: oversharing, stale permissions, and link mayhem
- How to fix exposure without becoming the “Department of No”
- What mature governance looks like when audits show up yet you stay calm
When data moves faster than AI hallucinates, your governance program needs to keep up. This guide gives you a practical framework to rein in sensitive data without slowing down how work gets done.
