Data Retention and Deletion Policies
Description: Establish policies defining data retention periods and deletion or archival procedures to manage data lifecycle effectively.
How It Helps: Prevents data overload, reduces storage costs, and ensures data compliance by removing outdated data.
Key Benefits:
Manages storage efficiency by regularly removing unnecessary data.
Supports compliance with data retention laws.
Reduces risks associated with storing obsolete data.
Data Classification and Sensitivity Labeling
Description: Classify data based on sensitivity levels (e.g., public, confidential, restricted) and implement access controls aligned with each classification.
How It Helps: Protects sensitive information by controlling access based on data sensitivity and ensures compliance with privacy policies.
Key Benefits:
Improves data security by aligning access with data sensitivity.
Supports regulatory compliance through structured data classification.
Facilitates efficient data management and usage.
Data Lineage and Tracking
Description: Track the origins, movements, and transformations of data within AI systems to ensure transparency and traceability.
How It Helps: Enhances data trustworthiness by enabling users to see where data has originated and how it has been altered.
Key Benefits:
Facilitates compliance and auditability.
Improves data reliability and transparency.
Enables easier troubleshooting by tracking data sources and transformations.
Data Ownership and Stewardship
Description: Define roles for data ownership and stewardship to assign accountability for data quality, accuracy, and governance.
How It Helps: Enhances data integrity by clarifying responsibilities, ensuring that each dataset has a responsible owner.
Key Benefits:
Promotes data quality and reliability through accountability.
Establishes clear responsibility for data oversight.
Strengthens organizational data management practices.
Data Access Auditing and Logging
Description: Implement systems to log data access and record modifications to datasets for secure and compliant data usage.
How It Helps: Enhances accountability by maintaining an audit trail for data access and changes, useful for security and compliance.
Key Benefits:
Provides a robust audit trail for regulatory requirements.
Increases security by monitoring unauthorized access attempts.
Facilitates root-cause analysis for data-related issues.
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