Where this offering fits
DSPM addresses the location, exposure and context of sensitive data in supported environments. Begin with cloud accounts and repositories, then define which data categories and permissions matter. Discovery and exposure findings need owner validation before they become remediation decisions.
Architecture and rollout decisions
Confirm supported sources and the permissions needed for assessment. Pilot a known dataset with approved samples, checking false matches and access context. Define how findings reach the data or cloud owner and how closure is verified. Collection of content and metadata should follow the customer’s authorised processing requirements.
An evaluation scenario for this offering
Prepare an approved repository with synthetic sensitive examples, ordinary lookalike content and a documented access-permission difference. Compare DSPM findings with the known data and exposure context. Include an inaccessible location in the source list so reviewers can see that it was not assessed. Have the data owner choose an appropriate treatment for one verified finding, then check the agreed closure evidence after the authorised change. Acceptance should demonstrate both content-validation and permission-context review. Discovery should not silently lead to deletion, broad access removal or a claim of complete data coverage across sources the selected connector cannot inspect.
Evidence to request for this scope
- Document assessed sources and explicit coverage gaps.
- Validate sensitive-data and exposure findings together.
- Agree access-remediation approval and retest.