Case Study: Gallagher Bassett strengthens sensitive data discovery and classification with comforte

Gallagher Bassett classifies PII in minutes with comforte

Gallagher Bassett, a property and casualty insurer, needed to discover and classify sensitive personal data across its structured, semi-structured, and unstructured repositories. The challenge involved consolidating data from various sources, identifying unknown data sets, and managing third-party risk. They partnered with comforte to utilize its data discovery and classification capabilities.

comforte implemented its intelligent discovery engine to automatically locate and tag all sensitive data in minutes rather than weeks. The solution provided a network-based approach to find previously unknown data sets without targeted scans and enabled real-time monitoring of data shared with third-party vendors. This allowed Gallagher Bassett to minimize its data footprint, ensure policy enforcement, and gain comprehensive data lineage reporting.

Gallagher Bassett