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Cloud Visibility & DLP with Netskope User Risk Scoring

netskope
06/22/2026
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analytics and the data stitching, so correlating data from different endpoints that gives you a sort of more holistic view of what that cloud environment looks like, that's clearly the gold standard and that's something that we're moving towards. So the DLP engine through the Netscape technology is fully configured and that has been an iterative process with the SecOps team within the business and it's all about the applying of the rule sets and attributing rule sets to groups and sort of knowing the groups of staff that you've got and what their roles are and what systems they need to access. So that DLP part is really quite mature. So if a user tries to access an application in the way that the user risk score was mentioned earlier today, they start with a score of 1,000 and anything they're trying to access or download, that flags up. So although it's user-centric and it's not just application focused, what it does allow us to do is to drill into user behaviours.

TL;DR

  • Effective cloud security requires comprehensive visibility and data correlation across endpoints to understand the full environment
  • Netskope's DLP engine uses iterative rule set configuration aligned to user groups, roles, and required system access
  • User risk scoring starts at 1,000 baseline, with behavioral anomalies flagged to enable security teams to investigate specific user actions

Summary

This brief demonstration highlights Netskope's approach to cloud security through comprehensive visibility, data loss prevention (DLP), and user risk scoring. The speaker emphasizes that effective security requires seeing the full cloud environment through data analytics and correlation across endpoints. Netskope's DLP engine is configured through an iterative process with SecOps teams, applying rule sets to user groups based on their roles and required system access. The platform employs a user-centric risk scoring model where users start with a baseline score of 1,000, with deviations flagged when they attempt to access applications or download data outside normal patterns. This approach enables security teams to drill into specific user behaviors rather than focusing solely on application-level controls, providing a more holistic view of cloud security posture.

Chapters

0:00 - Cloud Visibility Fundamentals
0:21 - DLP Engine Configuration
0:47 - User Risk Scoring Model

Key Quotes

0:00 "We can't control what you can't see and actually having the visibility as well as the data analytics and the data stitching, so correlating data from different endpoints that gives you a sort of more holistic view of what that cloud environment looks like, that's clearly the gold standard and that's something that we're moving towards."
0:47 "If a user tries to access an application in the way that the user risk score was mentioned earlier today, they start with a score of 1,000 and anything they're trying to access or download, that flags up."

FAQ

How does Netskope's user risk scoring work?

Users start with a baseline risk score of 1,000. When they attempt to access applications or download data, the system flags deviations from normal patterns, allowing security teams to investigate specific user behaviors and potential security risks.


Categories:
  • » Webinar Library » Netskope
  • » Data Protection » Backup & Recovery
  • » Cybersecurity » Data Security
  • » Cybersecurity » Cloud Security
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Tags:
  • Cloud Security
  • Data Protection
  • Security Operations
  • Technical Deep Dive
  • Cloud Security Visibility
  • Data Loss Prevention
  • User Risk Scoring
  • Behavioral Analytics
  • Cloud Access Control
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