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Protect Customer Data

Detect and protect private and sensitive customer data wherever it may reside in the organization.

Overview

As data use grows more complex and distributed, so do the challenges of privacy compliance. Even though there are significant technology resources for application and network security, data loss is on the rise. Organizations struggle to comply with privacy and industry regulations and to identify, monitor, and protect sensitive data. There is a big gap around the detection and protection of private and sensitive customer data, such as protected health information (PHI) and personally identifiable information (PII). They need to focus on data risks, but very few organizations know where to start.

 

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Mitigate risk with intelligence and analytics

Organizations need to use analytics, intelligence, and automation to help address critical challenges associated with the explosive sensitive data growth. They need to evaluate where sensitive data lives and its level of risk. They need data intelligence and a centralized view of the location, protection, proliferation, cost, and access activity of their sensitive data, with automated remediation across all data resources and data types. And they need to assess, remediate, and monitor data for compliance with privacy and industry regulations. 

Award-winning approach

Informatica brings award-winning technology for discovery, risk analysis, monitoring and alerting, and data protection and provides the broadest coverage of relational, big data, and cloud platforms with our legacy of vendor-neutral, cross-platform support. Due to the Intelligent Data Platform's deep metadata management capabilities, our solutions are uniquely positioned and capable of discovering, detecting, protecting, and monitoring this type of information, at scale.

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Resources

Customer Success Stories

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Awards and Recognition

Informatica won 11 Info Security Products Guide 2018 Global Excellence Awards: a prestigious Grand Trophy, four Gold Awards, and six Silver Awards.

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