Asset & Data Classification
Classify information and supporting assets so protection, handling, retention, and recovery match consequence.
On this page · 4 sections
Applicability & intent
Classification should drive practical requirements across creation, use, sharing, storage, backup, archival, and disposal. It must include cloud, SaaS, code, and derived data.
- Document why asset & data classification applies, what is in scope, and who is accountable.
- Translate obligations into owned, testable outcomes with proportionate evidence.
- Track exceptions, residual risk, changes, and corrective actions through governance review.
Governance lifecycle
- 01
Confirm scope, context, interested parties, legal or contractual basis, and authoritative sources.
- 02
Identify desired outcomes, owners, dependencies, existing controls, and evidence sources.
- 03
Assess design and operating effectiveness using representative, time-bound evidence.
- 04
Record gaps, risk, interim protections, target dates, and approval decisions.
- 05
Verify remediation, report residual risk, and schedule reassessment when context changes.
Evidence & assurance
| Evidence family | Assurance question |
|---|---|
| classification standard and inventory | Does governance establish accountable direction? |
| owner decisions and handling labels | Does the process operate consistently? |
| access, retention, and disposal records | Can the claimed outcome be independently verified? |
Evidence should be attributable, current, protected, reproducible, and linked to an accountable owner. A document alone does not demonstrate that a control operates effectively.
Readiness decisions
- Use a small number of understandable levels.
- Assign accountable information owners.
- Test whether downstream copies inherit handling rules.