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Netskope × TEPCO Energy Partner, Incorporated

Netskope x TEPCO EP, near-perfect DLP accuracy in AI contact center

Over 90%, nearly 100% DLP detection accuracy

Security anxiety to confident cloud expansion

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Why it works

The case study earns its Resilience tag by centering on a specific, quantified risk that was closed: sensitive call-log data moving to the cloud without adequate masking. The mechanism is concrete enough to be instructive, showing how custom DLP rules combining keyword context with number patterns lifted accuracy to near-100%. The quote carrying the 2-3 daily alerts figure is informative rather than decorative, which is rare.

Steal this

The custom rule-building narrative, explaining why a naive 7-digit number rule fails and how adding keyword context fixed it, gives readers a transferable mental model for DLP tuning rather than just a vague claim of improved accuracy.

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This is editorial commentary and curation. The case study, screenshot, and all metrics are Netskope's published work; we link to the source and lead with our analysis.

  • Vendor Netskope
  • Customer TEPCO Energy Partner, Incorporated
  • Industry Other
  • Trigger AI-driven contact center rebuild introduced new cloud data-leak risks
  • Format Written narrative
  • Structure Challenge-Solution-Results
  • Medium Web page