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11. Fortune 500 insurance company automates discovery and classification of sensitive data   … choice for many major retailers, banks, and credit card companies around the world because it offers top of the line protection with minimal impact on processing speed. A high-profile fashion retailer chose…  
12. Major US insurance provider chooses comforte for NACHA compliance   … roadblock – we are enabling this insurer to leap forward and continue on their growth journey to the top of the insurance rankings and move up the Fortune 250 leaderboard. Agile Protection for Data Privacy…  
13. One of the world’s largest fashion retailers chooses tokenization   … choice for many major retailers, banks, and credit card companies around the world because it offers top of the line protection with minimal impact on processing speed. A high-profile fashion retailer chose…  
14. Fortune 500 Insurance Company Automates Discovery And Classification   … integrating with their existing DLP and GRC solutions. Enterprise Data Protection, Case Study, Top Assets  
15. Major US Insurance Provider Chooses comforte for NACHA Compliance   … that they’re trying to harmonize.  Compliance, Enterprise Data Protection, Case Study, Top Assets  
16. comforte Data Protection   … core of your ongoing reputation with your customers. Enterprise Data Protection, Solution Brief, Top Assets  
17. Data Security for Cloud & PII   … with industry standards as well as a consistent, laser focus on security should be at the top of the list. Compliance, Enterprise Data Protection, Fact Sheet  
18. comforte Discovery and Classification   … is being stored, process, and shared in real-time. Enterprise Data Protection, Solution Brief, Top Assets  
19. comforte Data Security Platform   … sensitive data without data-leakage exposure. Enterprise Data Protection, Solution Brief, Top Assets  
20. Worlds largest fashion retailers chooses tokenization   … data protection tools will facilitate cross-regulatory compliance Enterprise Data Protection, Top Assets, Case Study  
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