DP-1 Discover, classify, and label sensitive data
Maintain an inventory of sensitive data within the defined scope, using discovery tooling to find, classify and label it.
Source: Azure Security Benchmark v3 (renamed Microsoft cloud security benchmark), DP-1. The statement above is our statement of the clause, read from the published text and cited so you can check it against the official text, not the instrument verbatim. Open Azure Security Benchmark v3 (renamed Microsoft cloud security benchmark) in the compliance library.
These are the artefacts auditors commonly ask for on this requirement, our guidance rather than text from the standard. Your assessor decides what is sufficient in your context, and asks for samples across the period when a report covers one.
system holds itEvidence a system already holds
- Discovery scan results per data store · Vulnerability scanner / patch tooling
periodic reviewEvidence produced at each review
none for this control
governing documentDocuments that govern the control
- Defined sensitive data scope · Policy repository / GRC workspace
- Classification and labelling scheme with applied label counts · Policy repository / GRC workspace
- Named owner per sensitive data set · Document repository
First move
Common gaps auditors find
- classification policy with no discovery run behind it
- scanning limited to structured stores, ignoring file shares and object storage
- labels applied once and never refreshed as data moves
Do this for your whole sheet
Paste the rows you run your controls from and get this mapping for every control at once, with the periodic-review ones flagged and a first move per row. No account for the first run.
Build my evidence sheetBR-4 Regularly test backup · DP-2 Monitor anomalies and threats targeting sensitive data