Why Context is Everything for Securing AI-Accessible Data

You discovered your sensitive data. You classified it. But now you're left with thousands of findings and no clear way to prioritize them. Without business context (what the data means to the organization) and identity context (who can access it and how is it actually being used), security teams struggle to assign ownership, assess risk, and drive remediation.

The next step in data security maturity is achieving data understanding by mapping classified data to a business taxonomy and layering in identity context so every sensitive finding has an owner, a business meaning, and a clear priority. Join Principal Data Security Services Architect Michael Ferguson on June 30th to see what that looks like in practice.

What you'll take away:

• Why classification alone isn't enough: how labels without context create alert fatigue and stall remediation
• Business context, made operational: how mapping data to a business taxonomy turns raw findings into work the right teams can actually own
• Identity context that drives prioritization: how knowing who can access sensitive data and how it’s actually being used changes which risks you fix first
• From discovery to decision: a practical model for turning classification into prioritized action across security, data, and compliance teams