APPNEURAL · Trust Center
Data governance
A practical framework for describing data purpose, classification, access, lineage, retention, and accountability.
Review area 01
Data inventory and purpose
Record data category, source, purpose, owner, users, system, recipients, sensitivity, location, and retention rule before processing. Collect only what the approved workflow requires.
Review area 02
Classification and handling
Public information may be shared as approved; internal information is limited to work needs; confidential information requires named access and approved sharing; restricted information requires explicit authorization and documented safeguards. These are proposed project practices, not a claim of an existing company-wide classification program.
Review area 03
Lifecycle decisions
At design and offboarding, define access, correction, export, return, deletion, backup expiry, records that must be retained, and accountable owners.
Review area 04
Evidence
Keep approved data maps, access decisions, retention schedules, deletion records, and exceptions with owner, version, approval, scope, and review date. Share only approved material externally.
Evidence and scope
Distinguish guidance from evidence.
This public summary is not an audit, certification, contract, or proof that a control is deployed. APPNEURAL has not published supporting operational evidence here. For a real engagement, confirm the system, data, owner, control implementation, test evidence, and contractual scope before relying on a statement.
Contact
Start an enterprise trust review.
Use the general enquiry form to describe your request. It is not a dedicated security incident channel, and no response-time commitment is stated here. Do not include passwords, credentials, customer records, or sensitive security evidence.
Contact APPNEURAL