Privacy framework
NIST Privacy Framework
NIST’s voluntary framework for identifying and managing privacy risk through organizational functions and profiles.Plan for this page
Decide whether this external resource fits your goal before leaving the platform.
- You will leave with
- How teams can connect data processing, individual impacts, governance, controls, communication and protection.
- Before you begin
- Familiarity with data flows, organizational controls and privacy concepts.
- Do this now
- First read why it was selected, how to use it, and its main limitation.
Prepared next stepContinue on AI for EverybodyNIST Privacy FrameworkHow teams can connect data processing, individual impacts, governance, controls, communication and protection.- It provides a broader privacy-risk lens than a narrow checklist of security controls or consent banners.
- Privacy, product, risk, procurement and policy teams.
- Use with a concrete AI data flow and the exact current version; pair it with applicable privacy law and affected-person input.
- 01Claim
- 02Source
- 03Scope
- 04Review
How teams can connect data processing, individual impacts, governance, controls, communication and protection.
Fit and purpose
Why the resource is here and what to know before beginning.
Why selected
It provides a broader privacy-risk lens than a narrow checklist of security controls or consent banners.Suitable for
Privacy, product, risk, procurement and policy teams.Prerequisites
Familiarity with data flows, organizational controls and privacy concepts.Use and access
How to plan the time, access, and practical requirements.
How to use it
Use with a concrete AI data flow and the exact current version; pair it with applicable privacy law and affected-person input.Language
English; translations and supporting versions should be checked individually.Access
Official NIST pages and framework materials are public.Accessibility
Framework PDFs, worksheets and mappings were not independently screen-reader or keyboard tested.Perspective
US federal risk-management perspective, not a jurisdiction-neutral privacy law.Rights
Cite the exact framework version and check document-level rights before reproducing tables or templates.Strengths
- Structured organizational privacy vocabulary
- Can connect AI work with existing governance processes
Limitations
- Voluntary framework use does not establish legal compliance
- Version transition and broad scope require careful mapping