Review mitigation recommendations in Data Security Investigations (preview)

Analyze data for mitigation information

Complete the following steps to identify risks in data items included in the investigation scope:

Important

You must prepare data for AI analysis before configuring examinations.

1. Go to the Microsoft Purview portal and sign in using the credentials for a user account assigned Data Security Investigations (preview) permissions.
2. Select the Data Security Investigations (preview) solution card and then select Investigations in the left nav.
3. Select an investigation, then select Analysis on the navigation bar.
4. Use vector search or categorization tools to identify data for credentials examination.
5. Select one or more items, then select Examine on the command bar.
6. In the Examine with AI dialog, enter name for your examination process in the Job name field.
7. Enter a description for the examination process in the Job description field.
8. Select Mitigate: Identify threats and recommended mitigation steps in selected items in the Choose a focus area field.
9. Select Examine to start the AI analysis.

Note

The time estimates for the process to complete is based on the amount and size of the selected data. To reduce processing time, filter and exclude data not applicable to the investigation.

Mitigation recommendation report

After the AI processing is completed for the selected data items, you can review the mitigation plan to identify details and recommended mitigation steps for each item.

The mitigation recommendation reports include the following information for each item:

• Subject/Title: The subject or title of the data item.
• Risk score: The risk score of the data item. Values from 0.00 to 0.10.
• Risk summary: A summary of the risks associated with an item. Includes information about content types, users, senders/recipients, details about communications, and more.
• Mitigation steps: Guidance for recommended steps to help mitigate the risk associated with the item. Includes audit log reviews, location tracing, access reviews, monitoring suggestions, and more.
• Thought process: A summary of the reasoning as to why the risks associated with the item are important. Includes security, legal, financial justifications and more.
• Risk implications: A summary of the implications if the identified risks aren't addressed.
• Errors: A summary of any processing errors encountered when the AI process was run.