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  2. Data loss prevention software - Wikipedia

    en.wikipedia.org/wiki/Data_loss_prevention_software

    Data loss prevention (DLP) software detects potential data breaches/data exfiltration transmissions and prevents them by monitoring, [1] detecting and blocking sensitive data while in use (endpoint actions), in motion (network traffic), and at rest (data storage). [2] The terms "data loss" and "data leak" are related and are often used ...

  3. Data loss - Wikipedia

    en.wikipedia.org/wiki/Data_loss

    The frequency of data loss and the impact can be greatly mitigated by taking proper precautions, those of which necessary can vary depending on the type of data loss. For example, multiple power circuits with battery backup and a generator only protect against power failures, though using an Uninterruptible Power Supply can protect drive ...

  4. MyDLP - Wikipedia

    en.wikipedia.org/wiki/MyDLP

    Free and open-source software portal; MyDLP is a data loss prevention solution originally available released as free and open source software. Supported data inspection channels include web, mail, instant messaging, file transfer to removable storage devices and printers.

  5. Digital Guardian - Wikipedia

    en.wikipedia.org/wiki/Digital_Guardian

    Digital Guardian is an American data loss prevention software company that sells products to detect and prevent malicious actions by user and malware on endpoints.Its software is designed for both individual user and corporate networks, servers, databases, and the cloud.

  6. Data corruption - Wikipedia

    en.wikipedia.org/wiki/Data_corruption

    Data corruption refers to errors in computer data that occur during writing, reading, storage, transmission, or processing, which introduce unintended changes to the original data. Computer, transmission, and storage systems use a number of measures to provide end-to-end data integrity , or lack of errors.

  7. Extended detection and response - Wikipedia

    en.wikipedia.org/wiki/Extended_detection_and...

    The data is then analyzed and correlated, lending it visibility and context, and revealing advanced threats. Thereafter, the threats are prioritized, analyzed, and sorted to prevent security collapses and data loss.

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