• Data Privacy Management | Informatica

    Informatica Data Privacy Management provides data privacy intelligence and automation that helps you discover, identify, analyze, and remediate data risk.

  • The State of Data Security Intelligence

    Why are we so vulnerable? Data security and privacy challenge organizations. Billions have been spent on security software and hardware; but only 6% of organizations know where all the sensitive data resides. With the inevitability of a data breach, internal or external, organizations need to focus on understanding and protecting their sensitive data.

  • The State of Data Security Intelligence

    This Ponemon Institute’s research report reveals how organizations are using data security intelligence to assess and minimize risks to their sensitive and confidential information on premise and in the cloud.

  • Data-centric Security: A New Information Security Perimeter

    Information security practices are in the midst of a major transition. Why? Traditional security defenses are no match for internal and targeted attacks that circumvent security controls and steal sensitive data. Furthermore, IT infrastructure (and sensitive data) is extending inside and outside the perimeter; as organizations embrace cloud computing, mobility (i.e., mobile applications, remote/mobile employees, users, etc.), and big data analytics tools. To address modern threats and IT mobility, CISOs must adopt two new security perimeters around data­-centric security and identity.

  • Informatica Test Data Generation

    Test data is essential to building and deploying functional applications. When production data doesn’t contain the data or tables necessary to support a new feature or function, or when IT policy or privacy regulations restrict the use of production data, developers must create their own test data.

  • Enterprise Test Data Management Services (EntTDMS)

    Our EntTDMS offering leverages our partnership with Informatica. The solution saves infrastructure costs by reducing the storage footprints of test environments and improves test cycle times for better quality of test data.