Most healthcare organizations know that protected health information should not leave the building casually. Fewer have anything that notices when it does. A staff member emails a spreadsheet of resident names and Social Security numbers to the wrong person, or shares a folder with an outside link that never expires. Training helps, but people are busy and mistakes happen.
Data loss prevention, usually shortened to DLP, adds a safety net. If your organization uses Microsoft 365, DLP features are built into the platform, depending on your license level. This post describes a measured first configuration that catches common problems without disrupting daily work.
DLP policies scan content in email, files and chats for patterns that look like sensitive data, such as Social Security numbers, credit card numbers or certain health-related identifiers. When something matches, the policy can:
Show a tip to the sender warning that the message contains sensitive information
Notify a compliance contact or administrator
Require a business justification
Block the message or sharing action
Encrypt the email automatically
Microsoft provides built-in sensitive information types, including U.S. Social Security numbers and various medical and financial identifiers. Review which are available in your tenant, since the list and licensing details change over time.
List the data that matters most: resident or patient records, Social Security numbers, insurance and Medicare identifiers, medical record numbers, payroll and employee information. Identify where it legitimately flows, such as to billing partners, pharmacies or state agencies.
DLP capabilities vary by Microsoft 365 plan. Check what your subscription includes before planning around features you may not have.
Include compliance, HR, administration and operations. Policies that surprise staff create friction. Policies that staff helped shape get accepted.
Begin with a small number of policies aimed at clear risks.
Social Security numbers in outbound email. Detect messages leaving the organization that contain Social Security numbers, especially more than one.
Health identifiers in outbound email. Detect messages containing combinations such as names with medical record numbers, insurance identifiers or diagnosis terms. Tune based on what the available detection types can do.
Sensitive files shared externally. Detect files in SharePoint and OneDrive with these identifiers that are shared with anyone outside the organization.
Sensitive data in chat. Consider coverage for Teams messages, since staff sometimes paste information into chats.
The most important advice is to avoid blocking on day one.
Run policies in a monitoring or test mode that records matches without interrupting users. Review results for a few weeks. You will learn how often matches occur, which are legitimate, and where false alarms come from.
Turn on policy tips that warn senders when they are about to send sensitive information. Many mistakes stop here.
For clear high-risk cases, add stronger actions. Examples include requiring encryption for outbound messages containing Social Security numbers, or blocking external sharing of files with large amounts of sensitive data. Allow overrides with a justification where legitimate work requires it.
Overly noisy policies teach people to ignore them. Improve accuracy by:
Requiring a minimum number of matches before triggering
Adjusting confidence levels for detections
Using combinations of identifiers instead of a single one
Excluding known legitimate recipients or workflows, carefully
Reviewing matches regularly and adjusting
DLP is one layer. Combine it with:
Multi-factor authentication on every account
Sensitivity labels that mark and protect confidential documents
Restrictions on external sharing links
Encryption for email containing protected information
Staff training on handling sensitive data
Audit logging turned on and retained
Decide who reviews alerts, how quickly, and what happens next. An alert nobody sees has no value. Document the response steps, including how to determine whether an incident requires evaluation under the HIPAA Breach Notification Rule. Involve your privacy officer early.
After the first quarter, review the number of matches, the share that were real issues, overrides and user feedback. Adjust thresholds and add coverage gradually. DLP is not a project that finishes. It is a practice that gets better as you learn how information actually moves.
UnityCare IT helps healthcare organizations plan and configure DLP in Microsoft 365, starting in monitoring mode, tuning against real activity, and moving to stronger protections only when the policies are accurate enough to trust.
Microsoft 365, cloud storage and tested backups with access controls built in.
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