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classification-policy

Data & analytics

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Updated 10-16 01:30

About this skill

Data Classification Policy Development

Overview

A data classification policy establishes the enterprise-wide framework for categorising data by sensitivity level and prescribing handling requirements per tier. The policy translates GDPR classification obligations (personal, special category, criminal) and information security requirements (confidentiality, integrity, availability) into practical, enforceable rules that govern how data is stored, transmitted, accessed, and disposed of throughout its lifecycle. This skill covers the design, implementation, and enforcement of a four-tier classification scheme aligned with GDPR requirements and ISO 27001 Annex A controls.

Classification Tier Structure

Four-Tier Model for Vanguard Financial Services

Tier Label Description GDPR Mapping ISO 27001 Mapping
Tier 1: Public PUBLIC Information approved for public release. Disclosure carries no risk to the organisation or individuals. Anonymised data (Recital 26), published reports, public filings A.8.2 — Unclassified/Public
Tier 2: Internal INTERNAL Information for internal use only. Disclosure would cause minor inconvenience but no significant harm. Pseudonymised aggregate data, internal procedures, organisational charts A.8.2 — Internal
Tier 3: Confidential CONFIDENTIAL Information whose disclosure would cause significant harm to individuals or the organisation. Personal data (Art. 4(1)), financial data, customer records, employee records A.8.2 — Confidential
Tier 4: Restricted RESTRICTED Information whose disclosure would cause severe harm, regulatory sanction, or irreversible damage. Art. 9 special category data, Art. 10 criminal data, trade secrets, regulatory investigation data A.8.2 — Restricted/Secret

Classification Decision Matrix

Data Type Tier Rationale
Published annual report PUBLIC Approved for public disclosure
Internal org chart INTERNAL No individual harm from disclosure, but not intended for external distribution
Customer name and email CONFIDENTIAL Personal data — disclosure would breach GDPR obligations
Customer account number and transactions CONFIDENTIAL Personal data with financial sensitivity
Employee National Insurance Number CONFIDENTIAL (borderline RESTRICTED) High-sensitivity direct identifier
Employee health records RESTRICTED Art. 9 special category data
Biometric access templates RESTRICTED Art. 9 biometric data
Criminal background check results RESTRICTED Art. 10 criminal data
AML investigation files RESTRICTED Criminal data + legal privilege
Board strategic plans RESTRICTED Commercial sensitivity
Encryption keys and credentials RESTRICTED Security-critical

Handling Procedures Per Tier

Tier 1: PUBLIC

Control Requirement
Storage No restrictions; any approved platform
Transmission No restrictions; may be sent via any channel
Access control No restrictions; accessible to all
Encryption Not required (but recommended for integrity)
Retention Per document retention schedule
Disposal Standard deletion
Labelling Label: "Public" or no label required

Tier 2: INTERNAL

Control Requirement
Storage Vanguard-managed systems only (no personal devices, no personal cloud)
Transmission Vanguard email or approved collaboration tools; not via personal email
Access control All Vanguard employees and approved contractors with valid account
Encryption Required in transit (TLS 1.2+); recommended at rest
Retention Per document retention schedule
Disposal Standard secure deletion (file system delete)
Labelling Label: "Internal" applied via header/footer or metadata

Tier 3: CONFIDENTIAL

Control Requirement
Storage Vanguard-managed systems with access controls; encrypted at rest (AES-256)
Transmission Encrypted email (TLS 1.3 or S/MIME); approved SFTP; no unencrypted channels
Access control Role-based access control (RBAC); business need-to-know; MFA required
Encryption Required at rest (AES-256) and in transit (TLS 1.3); field-level encryption for high-sensitivity fields
Printing Permitted with secure print release; printed copies secured in locked cabinets
External sharing Permitted only with approved third parties under DPA/NDA; DPO approval for new recipients
Retention Per data-specific retention schedule; automated enforcement
Disposal Secure overwrite (NIST 800-88 Clear); shredding for physical media
Labelling Label: "Confidential" in document header/footer, email subject tag, and metadata
Audit Access logged; quarterly review of access permissions
DLP DLP policies active: warn on external sharing, block sharing to personal email

Tier 4: RESTRICTED

Control Requirement
Storage Designated restricted-access systems only; encrypted at rest with customer-managed keys; separate network segment or HSM where applicable
Transmission End-to-end encrypted channels only; no email without encryption; approved secure file transfer only
Access control Named individual access lists (not role-based); dual-person authorisation for bulk access; MFA required; privileged access management (PAM)
Encryption AES-256 at rest with customer-managed keys; TLS 1.3 in transit; field-level encryption mandatory
Printing Prohibited unless specifically authorised by DPO; watermarked with user identity
External sharing Prohibited unless DPO and Chief Privacy Officer jointly approve; encrypted transfer only
Retention Strict retention with automated deletion; no extensions without DPO approval
Disposal NIST 800-88 Purge (cryptographic erasure or physical destruction); disposal certificate required
Labelling Label: "Restricted" in document header/footer (red), email banner, and metadata; visual marking on screens
Audit All access logged with user identity, timestamp, and purpose; monthly audit review by DPO
DLP DLP policies active: block all external sharing, block USB copy, block print, block screenshot; alert DPO on policy trigger
Incident response Any unauthorised access or disclosure treated as data breach; immediate DPO notification

Policy Governance

Policy Document Structure

Section Content
1. Purpose and Scope Defines why classification is required and what data is covered
2. Classification Tiers Four-tier definitions with examples
3. Roles and Responsibilities Data owner, data steward, DPO, IT Security, all employees
4. Classification Procedures How to classify new data, reclassification triggers
5. Handling Requirements Per-tier controls matrix
6. Labelling Requirements How to apply labels (manual and automated)
7. Exception Process How to request exceptions with risk acceptance
8. Enforcement Monitoring, audit, and consequences for violations
9. Training Classification awareness training requirements
10. Review Schedule Annual review; interim reviews on regulatory change

Roles and Responsibilities

Role Responsibility
Data Owner (business unit head) Classify data for their business function; approve access requests; review classifications annually
Data Steward (departmental) Maintain classification labels; ensure handling compliance in their area; report classification issues
DPO Oversee policy compliance; approve Restricted tier exceptions; conduct classification audits
IT Security Implement technical controls per tier; manage DLP policies; configure encryption; monitor audit logs
All Employees Apply classification labels to data they create; handle data per tier requirements; report suspected misclassification
Privacy Engineering Configure automated classification tools; manage discovery platforms; tune detection accuracy

Exception Process

Exception Request
  │
  ├─► Step 1: Requestor documents the exception
  │     - What data? What tier? What control cannot be met?
  │     - Why is the exception needed?
  │     - What alternative controls are proposed?
  │     - Duration of exception requested
  │
  ├─► Step 2: Risk Assessment
  │     - Data Steward assesses the risk of the exception
  │     - For Confidential tier: Data Owner approves
  │     - For Restricted tier: DPO and CISO jointly approve
  │
  ├─► Step 3: Approval and Documentation
  │     - Exception recorded in exception register
  │     - Alternative controls documented and implemented
  │     - Expiry date set (maximum 12 months, renewable)
  │
  └─► Step 4: Review
        - Exception reviewed at expiry
        - Renewed only if original justification remains valid
        - Chronic exceptions trigger process improvement

Enforcement Mechanisms

Mechanism Implementation
Automated labelling Microsoft Purview auto-labelling applies Confidential/Restricted labels based on detected PII
DLP policies Microsoft Purview DLP blocks or warns on policy violations (external sharing, USB copy)
Access reviews Quarterly certification of access permissions for Confidential; monthly for Restricted
Audit logging All access to Confidential and Restricted data logged and retained for 2 years
Classification audits DPO conducts semi-annual audits sampling 100 items per tier for classification accuracy
Training compliance Annual classification training required for all employees; completion tracked in LMS
Disciplinary policy Violations escalated per employee handbook: warning → formal warning → disciplinary action

Enforcement Precedents

  • ICO v Interserve Group (2022): GBP 4.4 million fine for inadequate security measures — the ICO noted that failure to classify data by sensitivity contributed to the inability to apply proportionate security controls, leading to a breach affecting 113,000 employees.
  • CNIL v Sergic (2019): EUR 400,000 fine for failing to implement adequate access controls on tenant personal data — absence of data classification meant all data was treated with the same (insufficient) controls.
  • AEPD v CaixaBank (2021): EUR 6 million fine — the DPA noted that inadequate data classification contributed to excessive data collection and retention, violating data minimisation and storage limitation principles.

Integration Points

  • personal-data-test: Classification policy tiers are assigned based on personal data classification results
  • special-category-data: Art. 9 data automatically assigned Restricted tier
  • criminal-data-handling: Art. 10 data automatically assigned Restricted tier
  • data-labeling-system: Labelling system implements the policy's labelling requirements
  • auto-data-discovery: Discovery tools validate that classification labels match detected data sensitivity