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Mercur y Insurance Ensures Clients' Security with SafeNet KeySecure - Case Study 1 Encrypting data in legacy and proprietary systems can be a complicated undertaking, but Gemalto was up to the challenge. KeySecure, in conjunction with connectors such as ProtectApp and Tokenization Manager, enabled Mercury to secure high-value data, centralize key management, and maintain the high performance required to run a successful business. CASE STUDY Mercury Insurance Ensures Clients' Security with SafeNet KeySecure The Organization For more than 50 years, Mercur y Insurance Group has provided comprehensive coverage options ranging from personal auto insurance to homeowners insurance to mechanical breakdown protection. It is the leading independent broker and agency writer of automobile insurance in California, and has been one of the fastest-growing automobile insurers in the United States. The Business Need From the beginning, Mercur y has implemented various encr yption methods to secure sensitive information, originally utilizing the native encr yption on various databases and business applications. But as the company grew it became clear that the company needed to invest in a centralized data encr yption and key management solution. "Our core systems are heavily accessed and relied on to carr y out critical business activities. So any security functionality we add to it cannot negatively impact system per formance which in turn can decrease the productivity of the business," explained Ar t Coble, Director of Information Security at the Mercur y Insurance Group. Challenge Mercur y needed to implement encr yption on legacy and proprietar y systems, as well as install a FIPS-cer tified centralized encr yption and key management solution that would interoperate with a variety of existing databases. Solution SafeNet KeySecure with Cr ypto Pack enabled Mercur y to encr ypt and tokenize high-value data and centrally manage encr yption keys with a high-assurance hardware appliance. Benefit Mercur y is able to secure sensitive data on a variety of systems, all without impacting end-user per formance.

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