With this update you will be able to see the matched sensitive information type and the context surrounding it (300 characters) as a result of a DLP policy match on your endpoint devices.
Utilize several new built-in, ready-to-use trainable classifiers to discover and auto-classify sensitive content across categories such as product development files, personal financial information, and standard operating procedures. These classifiers are pre-trained using diverse and large numbers of real-world samples to provide broad coverage of multiple common business functions (such as finance, legal, human resources, mergers and acquisitions, or marketing communications), as well as more granular documents and specific forms.
More info: https://docs.microsoft.com/microsoft-365/compliance/classifier-learn-about?view=o365-worldwide
Utilize several new pre-trained and ready-to-use trainable classifiers to discover and auto-classify sensitive content across multiple common business functions (such as finance, HR, healthcare, legal, procurement, and IT), as well as more granular sensitive document categories including IP/trade secrets such as product development files, strategic planning documents, A files, and personal financial information. These classifiers can be applied as conditions in Data Lifecycle Management retention policies and Data Loss Prevention policies.
More info: https://docs.microsoft.com/microsoft-365/compliance/classifier-learn-about?view=o365-worldwide
This feature enables secure and convenient external guest reviewer access to eDiscovery (Premium) review sets within a case. This feature empowers eDiscovery (Premium) admins and managers to follow more traditional collaboration practices that will boost confidence and workflow defensibility by allowing outside counsel to cooperate more directly without increasing cost or risk.
Now eDiscovery admins can understand the progress of Collections, statistics on what content contributed to changes between estimated items with hits and actual collected items, as well as commit the collection directly from the estimate without navigating through the entire collection wizard.
Now eDiscovery admins can understand the progress of Collections, statistics on what content contributed to changes between estimated items with hits and actual collected items, as well as commit the collection directly from the estimate without navigating through the entire collection wizard.
Now eDiscovery admins can understand the progress of Collections, statistics on what content contributed to changes between estimated items with hits and actual collected items, as well as commit the collection directly from the estimate without navigating through the entire collection wizard.
Microsoft Endpoint DLP will support content authored using double-byte character sets in Windows devices (including Simplified Chinese, Traditional Chinese, and Japanese) in service workloads.
More info: https://docs.microsoft.com/en-us/microsoft-365/compliance/endpoint-dlp-getting-started?view=o365-worldwide
Support the scanning for sensitive content in ZIP and ARJ archive files in Windows devices.
Support to identify when a file is sensitive based upon the file type or extension in Windows devices. Extend your Endpoint DLP policy controls to detect and protect even more content types such as CAD drawing files, video and audio files, and custom file types used in your specific industry.
More info: https://docs.microsoft.com/en-us/microsoft-365/compliance/endpoint-dlp-getting-started?view=o365-worldwide
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