Rebuilding DLP for the AI Era: Your Step-by-Step Guide
July 16, 2025
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Summary: Traditional data loss prevention tools and workflows weren’t designed to mitigate risks introduced by AI prompts, cloud-native workflows, and browser-based tools. This infographic provides a roadmap data protection teams can use to locate sensitive data across the M365 environment, and classify, label, and protect it.
Is your DLP strategy keeping pace with AI?
As AI tools like Microsoft Copilot accelerate data sharing, many organizations are realizing their traditional DLP tools were not designed to protect AI prompts, Teams chats, and other new data types. Once they start looking for sensitive data across the enterprise, they realize that employees have created dark data repositories in SharePoint, OneDrive, and on their local devices. Legacy controls were never designed to address these challenges.
Modern DLP requires more than policy enforcement. It demands visibility into where sensitive data resides, clarity on what needs protection, and a workflow that provides quick, intelligent reactions.
In this infographic, we show you what modern DLP looks like in an AI-enabled workplace. You’ll see the risks, the must-have capabilities, and a five-step roadmap for implementing a sustainable program using Microsoft Purview for M365.
Ready to modernize your approach to data protection? Learn more about our team and deploying Microsoft Purview DLP.
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