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Data discovery that optimizes governance, security, and compliance

Quality data discovery is essential when it comes to ensuring data compliance, security, and governance—after all, you need to know what’s there in order to protect it.

But how can you properly map and understand complex data ecosystems that are constantly changing?

Well, real-time data lineage, consistent monitoring, and constantly updated data catalogs of master data can help you establish up-to-date intelligence about your data.

Read on to learn how Comforte’s Data Discovery and Classification solution allows you to quickly find, classify, and control sensitive and complex data across a scaled enterprise.

These are also closely related to: "Pervasive Data Profiler v4"

  • How to build great data integration security practices

    Almost all companies now have the additional burden of integrating their data from disparate IT systems.

    As if this additional responsibility wasn’t enough of a headache, data integration opens up a whole other set of complications when it comes to data security.

    Access this white paper to learn 5 essential tips for maximizing security as you integrate your complex systems, including:

    • Utilizing change data capture for mainframe systems
    • Ensuring data lineage protection
    • Integrating existing security solutions alongside your data
    • And more

  • Automated data governance is achievable: Here’s how

    Data management has only become more challenging as data volumes expand, become more mobile, and are more widely accessible in a company. This state of affairs has left businesses open to a myriad of problems, including:

    • Security threats
    • Data silos
    • And regulatory risks

    Read this white paper to learn about the current state of data governance as data moves to the cloud, and how your company can use Rubrik to help alleviate some of the challenges you might be facing with an app that’s designed to discover, classify, and report sensitive data across the enterprise.

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