DSPM vs DLP: The Data Blind Spots Killing Your Cloud Security

If you’re betting on “the cloud is secure” and a few DLP rules to save you, you’re exposed. Most breaches aren’t a tool failure, they’re a visibility failure. You can’t protect data you can’t see.

In this episode, Max Clark sits down with Sirena Ong from Secuvvy to break down Data Security Posture Management (DSPM): what it is, how it differs from DLP, and why every CISO is suddenly waking up to data blind spots across SaaS, cloud, endpoints, and AI workloads.They dig into:

• Why “shared responsibility” and cloud-native tools still leave massive data visibility gaps
• The real difference between DSPM (data at rest) and DLP (data in motion)—and why you need both
• How sensitive data quietly sprawls across SaaS, file shares, endpoints, Snowflake, and AI training pipelines
• Using DSPM to quantify risk, justify security budget, and avoid getting crushed on cyber insurance
• What actually happens when you run DSPM in a 1,000-user environment for the first time (yes, you will find things you don’t like)

If you own cloud, data, or security risk, this isn’t optional anymore.What you don’t know about your data will hurt you—get visibility before it becomes a board-level incident.