Labeling tool
Recommend sensitivity labels
Use the guided decision flow to choose labels, review rationale, and export label recommendations.
- Industry, data type, and regulation context
- No DLP licensing or enforcement questions
Introduction
Data Security Guided Assistant
This assistant turns Best Practice Security recommendations into a working decision tool with common examples and explicit exceptions in one interactive flow.
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Choose your path
What do you want to configure today?
Start with the workflow that matches your immediate goal. The next setup page only asks for context relevant to that path.
Setup
Tell us about your context
Help us tailor the decision flow and reference guidance to your industry. Select your industry to enable the decision flow. For specific labeling questions, use the Start decision flow button below — the Reference, Exceptions, and Examples sections will dynamically update as you answer.
Decision flow
Start labeling
Answer the questions in order. The tool keeps the label model fixed and follows a consistent escalation path. As you answer, the Reference, Exceptions, and Examples sections below will update to reflect your specific context — use them alongside the flow to validate your label choice.
DLP
Configure DLP Enforcement
Optional post-label guidance. Use this wizard when you want a Purview / transport-rule style enforcement recommendation to sit alongside the selected label set.
DLP outcome
DLP Policy Configuration
Visualization
Decision tree map
This is the end-to-end branch logic. The current question and selected recommendation are highlighted as you work through the flow.
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DLP Walkthrough
Select Labels for DLP Policy Required
Choose which sensitivity labels to include in your DLP enforcement policy. You can use all labels, import from a previous session, or pick specific ones.
Reference
Best Practice Security recommendations
Each card defines one sensitivity label — what it means, the protection baseline it requires, and any regulatory considerations relevant to your context. Cards are filtered to your selected industry and data types. Labels confirmed through the decision flow are annotated with a badge. Use Edit labels to remove any labels you don't need, then export the remaining set as Word or CSV.
Exceptions
Explicit clarifications to surface in the tree
These are known edge cases and boundary conditions for your industry and data types — situations where the default label logic may not apply or where extra care is required. Review them alongside your decision to confirm the recommendation holds, or to identify whether a different label or an escalation path is more appropriate.
Examples
Cross-industry scenarios to keep the tree inclusive
Real-world content scenarios mapped to the label model for your industry and selected data types. Use these to validate your decision — if a scenario matches your situation and points to a different label than the tool recommended, revisit your answers or escalate to your compliance team. Examples update dynamically as you change your context selections.