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What are Data Loss Prevention (DLP) Policies in Power Platform?

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Data Loss Prevention (DLP) policies in Microsoft Power Platform are governance controls that help organizations determine which connectors can be used together when building Power Apps and Power Automate flows. Their primary purpose is to prevent business data from being unintentionally or inappropriately transferred between different services. Connectors can generally be categorized into groups such as: Business – Approved services containing organizational data. Non-business – Services that may not contain sensitive organizational information. Blocked – Connectors that administrators do not allow users to use. For example, an organization may prevent users from creating a flow that transfers sensitive Dataverse information directly to an unauthorized external service. DLP policies are an important part of Power Platform governance, particularly in organizations with many citizen developers and business-critical applications.
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Data Loss Prevention (DLP) policies in Power Platform help organizations control how business data can move between different connectors and services. They are an important part of Power Platform governance and security. DLP policies classify connectors into groups such as: Business Non-business Blocked The purpose is to prevent users from unintentionally creating workflows or applications that move sensitive organizational data to inappropriate services. For example, an organization may allow Dataverse and Microsoft 365 connectors to work together while preventing a business-data connector from being combined with an unauthorized external service. DLP policies are particularly important in organizations where many users can create their own Power Apps and Power Automate flows. However, DLP should not simply be used to block everything. Excessively restrictive policies can prevent legitimate business solutions from being developed. A mature governance strategy combines: DLP → Environment Strategy → Security → ALM → Monitoring → User Education The objective is to enable innovation while maintaining appropriate control over organizational data.

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