# Standards and Regulatory References — Data Classification Policy ## Primary Legislation ### GDPR — Regulation (EU) 2016/679 - **Article 5(1)(f)**: Integrity and confidentiality principle — personal data shall be processed in a manner that ensures appropriate security, including protection against unauthorised or unlawful processing and against accidental loss, destruction, or damage. - **Article 24**: Responsibility of the controller — implement appropriate technical and organisational measures to ensure and be able to demonstrate that processing is performed in accordance with the GDPR. Data classification is a foundational organisational measure. - **Article 25**: Data protection by design and by default — classification policies implement by-design principles by ensuring data sensitivity drives the selection of technical measures. - **Article 32**: Security of processing — risk-based security measures "taking into account the state of the art, costs, nature, scope, context, purposes, and risks." Classification enables risk-proportionate security. ## International Standards ### ISO/IEC 27001:2022 — Information Security Management Systems - **Annex A.5.12**: Classification of information — information shall be classified in terms of legal requirements, value, criticality, and sensitivity to unauthorised disclosure or modification. - **Annex A.5.13**: Labelling of information — appropriate set of procedures for information labelling shall be developed and implemented in accordance with the information classification scheme. - **Annex A.5.10**: Acceptable use of information — rules for acceptable use and handling of information shall be identified, documented, and implemented. ### ISO/IEC 27002:2022 — Information Security Controls - **Control 5.12 Guidance**: Classification scheme should consider confidentiality (unauthorised disclosure), integrity (unauthorised modification), and availability. Four levels are common: public, internal, confidential, restricted. - **Control 5.13 Guidance**: Labels should be applied to physical and digital assets. Automated labelling tools recommended for large-scale environments. ### NIST SP 800-60 — Guide for Mapping Types of Information and Information Systems to Security Categories - **Volume I**: Foundation for categorising information based on impact levels (low, moderate, high) across confidentiality, integrity, and availability. - **Relevance**: Provides a complementary approach to GDPR-focused classification, useful for organisations operating in both EU and US regulatory environments. ### NIST SP 800-88 Rev.1 — Guidelines for Media Sanitization - **Clear**: Logical techniques to sanitise data in all user-addressable storage locations. Suitable for Confidential tier. - **Purge**: Physical or logical techniques that render target data recovery infeasible. Required for Restricted tier. - **Destroy**: Physical destruction rendering media unusable. Required for highest-sensitivity Restricted data. ## Regulatory Guidance ### ICO — Security Outcomes (2023) - **Outcome A.3**: "You classify and manage information assets according to their sensitivity." The ICO explicitly includes data classification as a security measure controllers must implement. ### EDPB Guidelines 01/2021 on Examples of Data Breach Notification - **Section 3**: Multiple examples where failure to classify data by sensitivity contributed to breach impact — data treated with uniform (insufficient) security measures.