Office 365 update: Office 365 Data Loss Prevention

We’re rolling out several new features for Office 365 Data Loss Prevention (DLP) that includes new matching capabilities and substantial improvements to Health Insurance Portability and Accountability Act (HIPAA). You can begin using these features today.

This message is associated with Office 365 Roadmap ID 15059.

While our goal is to ensure we notify you in advance of upcoming changes, we acknowledge we did not provide timely notice for this change. We will continue to look for ways to improve our notifications.

How does this affect me?
These updates include:

  • Support for large dictionaries in both policies and sensitive types – increases keyword matching support by 50x, supporting up to 100,000 terms per dictionary; useful for detecting generic content or lists of specific values.
  • Grouping sensitive types & configurable logical operators (AND/OR) – Changes to the UX and cmdlet although old cmdlet will still work. This allows you to express much richer, more specific sets of matching requirements within your policies.
  • Unique matches for entities and keywords – Policy results will now only consider unique matches; duplicated data will not be double-counted (e.g., the same SSN found on each page of your taxes will only count as one unique SSN), reducing unexpected policy matches.
  • Enhanced HIPAA protection in DLP and retention – More advanced and accurate detection of HIPAA content built-in to Office 365 DLP and Preservation policies. You can now accurately detect and protect your organization’s HIPAA-related content, and you can customize the matching behavior to meet your organization’s specific requirements.

Please visit aka.ms/dlptemplates and aka.ms/dlpsensitivetypes for HIPAA related topics.

What do I need to do to prepare for this change?
There is nothing you need to do to prepare for this change. Please click Additional Information to learn more.

Leave a reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.