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Introducing Microsoft Purview Data Security Investigations

Introducing Microsoft Purview Data Security Investigations

Investigate data security, risk and leak cases faster by leveraging AI-driven insights with Microsoft Purview Data Security Investigations. This goes beyond the superficial metadata and activity-only signals found in incident management and SIEM tools, by analyzing the content itself within compromised files, emails, messages, and Microsoft Copilot interactions. Data Security Investigations allows you to pinpoint sensitive data and assess risks at a deeper level—quickly understanding the value of what’s been exposed.

Then by mapping connections between compromised data and activities, you can easily find the source of the security risk or exposure. And using real-time risk insights, you can also apply the right protections to minimize future vulnerabilities. Data Security Investigations is also integrated with Microsoft Defender incident management as part your broader SOC toolset.

Nick Robinson, Microsoft Purview Principal Product Manager, joins Jeremy Chapman to share how to enhance your ability to safeguard critical information. 

► QUICK LINKS:

00:00 - Microsoft Purview Data Security Investigations

01:00 - Risks of data theft & data leaks

03:20 - Start an investigation

04:45 - Results of an investigation

06:15 - Vector-based search & semantic indexing

08:00 - Use AI for the investigation

09:21 - Map activities

10:44 - Connect SOC & Data Security teams

11:21 - Known leaked information

12:26 - Steps to get DSI up and running

13:15 - Wrap up 

► Link References

Get started at https://aka.ms/DataSecurityInvestigations

Stay up-to-date with our blog at https://aka.ms/DSIBlog

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Microsoft Mechanics Podcast
Microsoft Mechanics Podcast

Made for tech enthusiasts and IT professionals. Expanded coverage of your favorite technologies across Microsoft; including Office, Azure, Windows and Data Platforms. We'll even bring you broader topics such as device innovation with Surface, machine learning, and predictive analytics.

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