Case Study: Large Data Loss Prevention Organizations achieve automated, real-time data discovery and classification with Cavelo Inc.

Large data loss prevention organizations - Customer Case Study

Large Data Loss Prevention Organizations face limitations with traditional DLP: inline suppression is often limited to whitelist/blacklist rules, alerts typically arrive after data has left the network, and real‑time visibility and auditability are lacking. Cavelo Inc. was brought in to address these gaps by introducing automated data discovery and classification to complement existing DLP capabilities.

Cavelo Inc. implemented an automated data discovery solution that builds a per‑asset data inventory, automatically classifies sensitive data (and supports custom types), and provides query and reporting to drive operational decisions. The result is real‑time visibility and control over data, improved ability to track and classify data by type, stronger access and integrity controls, and clearer evidence for compliance and risk reduction.