AI agents are moving fast, but many teams are still blocked by limited visibility into where sensitive data lives, who can access it, and how data moves across systems. This white paper explains why data discovery and classification are a good start, but not enough on their own. It shows how adding context helps IT, security, privacy, and governance teams make faster, safer decisions about data and AI usage. You'll dive deep into:
- The context teams need beyond classification: Access and entitlements, data flows and lineage, security posture signals, cross-border movement, AI usage, and regulatory obligations.
- Practical workflows that reduce manual effort: Assessing AI agent risks and supporting privacy impact assessments.
- How to reduce blind spots and scale AI safely: Connect key signals into a unified approach to data and AI intelligence. Download the white paper and learn how to answer critical data and AI risk questions faster and apply controls with more confidence.
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