Case Study: a Fortune 500 insurance company automates sensitive data discovery and classification with comforte SecurDPS

Fortune 500 Insurance Company automates sensitive data discovery with comforte

The customer, a Fortune 500 insurance company, faced the challenge of managing and securing its vast data portfolio across various holdings. Their existing data privacy and security tools were underperforming due to incomplete and inaccurate data classification, leaving them vulnerable to risks from dark data. They partnered with vendor comforte to implement the SecurDPS Discover & Classify solution to automate the discovery and classification of sensitive information.

comforte provided a fully autonomous sensitive data discovery and classification engine. This solution automated the process and successfully integrated with the company's existing DLP and GRC tools, strengthening their overall data governance and security posture.