ON-DEMAND WEBINAR
Data Protection begins at Discovery: Why DSPM Must Evolve for the AI Era
Your DSPM scanned your data last quarter. It flagged thousands of files. Most of them are still exactly where they were.
It’s not a people problem; it’s a tooling problem. Most DSPM platforms were built to find sensitive data, not to understand what it means. A customer name in a marketing database and the same customer name in a clinical record look identical to a pattern-matching engine. They carry completely different risks. Without context, your DSPM cannot tell the difference, and neither can the policies built on top of it.
Seclore hosted a webinar on 3rd June to show what context-aware DSPM looks like in practice, with a live product demonstration on real data.
If you are responsible for data risk, compliance, or security architecture and navigating AI adoption and tighter data regulations, this is your hour.
What you will learn:
- Why context drift is the risk most DSPM strategies underestimate
- How content, context, and intent fail when treated as static labels rather than live signals
- What context-aware enforcement looks like when protection travels with the data across systems, jurisdictions, and AI workflows
- How to govern AI adoption without slowing it down, with detection, masking, and unmasking embedded inside the workflow itself
- How compliance-ready audit trails are built on decision-grade evidence for various regulations, such as DPDP, SAMA, NCA, etc.
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