A leading Indian bancassurance-led life insurance provider faced critical security complexities while managing large volumes of sensitive customer data. Operating across 100+ branches with a hybrid workforce, the organization struggled with limited visibility into Personally Identifiable Information (PII) and PCI data. Manual classification processes led to inconsistent labeling, and disconnected security controls left protection gaps. Furthermore, the company needed to enforce strict IRDAI regulatory mandates, including specific approval-driven workflows to prevent unauthorized changes to data classification.  

To resolve these vulnerabilities, the company deployed SISA Radar within a secure SaaS environment, enabling enterprise-wide data discovery and automated real-time classification. SISA provided custom discovery templates tailored to the insurer's unique datasets and engineered a customized manager-approval workflow for sensitivity label downgrades, ensuring strict accountability. SISA Radar seamlessly integrated with the existing Data Loss Prevention (DLP) ecosystem, meaning protection policies were automatically enforced via metadata-driven labels without disrupting daily operations.  

This transition established a centralized, governance-driven data protection framework across the entire distributed environment. Security teams unlocked comprehensive visibility into PII and PCI data, significantly reducing false positives through highly accurate detection logic. By unifying data classification and DLP controls, the organization successfully strengthened its regulatory alignment, guaranteeing scalable, continuous data security for its policyholders.