NIST Privacy Framework v1.0 Data Table

The NIST Privacy Framework 1.0 is a voluntary tool to help organizations manage privacy risks. It organizes privacy practices into Functions, Categories, and Subcategories for a structured approach.

• Functions: High-level activities to manage privacy risks.
  • Identify: Develop an understanding of privacy risks in data processing.
  • Govern: Establish governance for privacy policies and accountability.
  • Control: Implement controls to manage data and privacy risks.
  • Communicate: Foster clear communication about privacy practices.
  • Protect: Safeguard personal data through technical and procedural measures.
• Categories: Specific objectives within each Function to guide privacy efforts.
  • Identify:
    • Inventory and Mapping (ID.IM): Identify systems, assets, and data processing activities.
    • Business Environment (ID.BE): Align privacy with organizational mission and stakeholder needs.
    • Risk Assessment (ID.RA): Assess privacy risks to individuals from data processing.
    • Data Processing Ecosystem Risk Management (ID.DE): Manage risks in data sharing with third parties.
  • Govern-P:
    • Governance Policies, Processes, and Procedures (GV.PO): Develop privacy policies and assign roles.
    • Awareness and Training (GV.AT): Train workforce on privacy practices and responsibilities.
    • Monitoring and Review (GV.MT): Monitor compliance with privacy regulations and policies.
  • Control-P:
    • Data Processing Policies, Processes, and Procedures (CT.PO): Establish processes to manage data processing risks.
    • Data Processing Management (CT.DM): Implement data minimization and purpose limitation.
  • Communicate-P:
    • Communication Policies, Processes, and Procedures (CM.PO): Develop processes for privacy communications.
    • Data Processing Awareness (CM.AW): Inform individuals about data use and rights.
  • Protect-P:
    • Data Protection Policies, Processes, and Procedures (PR.PO): Establish policies for data protection.
    • Identity Management, Authentication, and Access Control (PR.AC): Limit data access to authorized users.
    • Data Security (PR.DS): Protect data with encryption and other safeguards.
    • Maintenance (PR.MA): Maintain systems handling personal data securely.
• Subcategories: Specific, actionable outcomes within Categories, such as “Develop an inventory of personal data processing systems” (ID.IM) or “Use encryption to protect data confidentiality” (PR.DS). These guide detailed privacy practices.

Data Summary

• 5 Functions
• 18 Categories
• 100 Subcategories