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NIST Privacy Framework โ€ข Privacy Risk Management โ€ข Data Governance

Operationalize Privacy Risk. Align with the NIST Privacy Framework.

BigID helps organizations discover sensitive data, understand privacy risk, govern data processing, automate privacy operations, and generate defensible evidence to support the NIST Privacy Framework across cloud, SaaS, AI, hybrid, and on-prem environments.

Move beyond spreadsheets and manual privacy inventories with continuous data intelligence that shows what personal data you have, where it lives, who can access it, how it's used, and where privacy risks require action.

Operationalize the NIST Privacy Framework

Turn privacy risk management into repeatable action.

The NIST Privacy Framework organizes privacy risk management around five core functions: Identify-P, Govern-P, Control-P, Communicate-P, and Protect-P. BigID connects these outcomes to continuous data discovery, processing context, access intelligence, policy enforcement, remediation, and evidence.

01
Identify-P

Understand data processing and privacy risk

Discover personal and sensitive data, map systems and processing activities, identify owners and third parties, and add business, regulatory, and risk context.

BigID outcome Continuous personal data visibility
02
Govern-P

Establish accountable privacy governance

Connect personal data to policies, purposes, owners, stewards, obligations, risk tolerances, assessments, retention rules, and remediation workflows.

BigID outcome Governance grounded in data context
03
Control-P

Manage data processing with greater control

Support privacy rights, consent and preference context, data minimization, retention, deletion, approved use, and policy-based action across distributed environments.

BigID outcome Automated privacy operations
04
Communicate-P

Improve transparency and processing awareness

Maintain reliable context about what personal data is processed, why it is used, where it is shared, which parties are involved, and what risks affect individuals.

BigID outcome Defensible processing transparency
05
Protect-P

Safeguard personal data and reduce exposure

Identify excessive access, risky sharing, exposed sensitive data, stale permissions, over-retention, policy violations, and other conditions requiring remediation.

BigID outcome Reduced privacy and data risk

Questions Privacy Risk Teams Need Answered

Privacy risk management starts with understanding the data behind it.

Privacy, legal, security, governance, risk, and compliance teams need clear answers before they can align privacy outcomes to the NIST Privacy Framework, prioritize action, and demonstrate accountability.

What personal data do we process?
BigID discovers and classifies personal, sensitive, regulated, and business-critical data across cloud, SaaS, AI, hybrid, and on-prem environments.
Where does personal data live?
BigID maps personal data across databases, applications, file shares, collaboration platforms, data lakes, warehouses, endpoints, backups, and unstructured repositories.
Why is the data being processed?
BigID connects personal data to its source, business purpose, processing activity, owner, policy, application, retention rule, and available consent context.
Who can access or share it?
BigID maps users, groups, applications, service accounts, vendors, third parties, and AI systems with access to personal and sensitive data.
Which privacy risks need action?
BigID identifies excessive access, risky sharing, exposed sensitive data, over-retention, missing ownership, policy violations, and processing conditions that may affect individuals.
Can we demonstrate framework alignment?
BigID generates evidence for data discovery, governance, privacy rights, access controls, retention, assessments, remediation, policy enforcement, and ongoing privacy reporting.

BigID for NIST Privacy Framework Alignment

Connect privacy outcomes to real data context.

BigID helps privacy, governance, security, legal, and risk teams operationalize the NIST Privacy Framework with continuous data discovery, processing context, access intelligence, automated privacy workflows, policy enforcement, remediation, and reporting.

Identify-P

Personal Data Discovery

Discover personal, sensitive, regulated, and business-critical data across cloud, SaaS, AI, hybrid, on-prem, structured, and unstructured environments.

Explore Discovery โ†’

Identify-P

Data Classification

Classify data by sensitivity, regulation, business purpose, ownership, jurisdiction, processing activity, and privacy risk.

Explore Classification โ†’

Govern-P

Privacy Risk Assessments

Add data sensitivity, processing purpose, sharing, access, ownership, retention, and individual-impact context to privacy assessments.

Explore Privacy Assessments โ†’

Govern-P

Privacy Data Governance

Connect personal data to policies, owners, stewards, obligations, processing purposes, standards, and remediation workflows.

Explore Data Governance โ†’

Control-P

Privacy Rights Automation

Locate relevant personal data and coordinate workflows for access, correction, deletion, portability, restriction, and other privacy requests.

Explore Data Rights โ†’

Control-P

Retention & Data Minimization

Identify stale, duplicate, unnecessary, and over-retained personal data to support minimization, retention, deletion, and legal hold policies.

Explore Retention โ†’

Communicate-P

Processing Context & Data Mapping

Understand where personal data originates, how it moves between systems, why it's processed, which applications and AI systems use it, and how processing activities support privacy governance.

Explore Data Lineage โ†’

Protect-P

Access Governance

Identify users, groups, applications, service accounts, vendors, third parties, and AI systems with access to personal and sensitive data.

Explore Access Governance โ†’

Protect-P

Privacy Risk Reduction

Identify exposed sensitive data, excessive access, risky sharing, stale permissions, misconfigurations, over-retention, and policy violations.

Explore DSPM โ†’

All Functions

Framework Reporting

Generate dashboards and evidence for discovery, governance, privacy rights, assessments, access controls, retention, remediation, and framework alignment.

Explore Reporting โ†’

NIST Privacy Framework Outcomes

Reduce privacy risk. Build a more accountable program.

BigID helps organizations turn the NIST Privacy Framework into practical outcomes by connecting privacy strategy to continuous data visibility, governed processing, stronger safeguards, automated action, and defensible evidence.

โœ“

Build a trusted personal data inventory

Maintain continuous visibility into personal, sensitive, regulated, and business-critical data across cloud, SaaS, AI, hybrid, on-prem, structured, and unstructured environments.

โœ“

Understand processing and privacy impact

Connect personal data to its source, purpose, owner, processing activity, application, third parties, retention rules, and potential impact on individuals.

โœ“

Strengthen governance and accountability

Align personal data with policies, owners, stewards, risk tolerances, assessments, obligations, controls, and remediation workflows.

โœ“

Automate privacy operations

Accelerate privacy rights fulfillment, retention reviews, data minimization, deletion, assessments, and policy-driven workflows across distributed systems.

โœ“

Reduce data exposure and access risk

Identify excessive permissions, risky sharing, exposed sensitive data, stale access, over-retention, misconfigurations, and policy violations that require action.

โœ“

Demonstrate framework alignment

Generate dashboards and evidence for Identify-P, Govern-P, Control-P, Communicate-P, and Protect-P activities, including assessments, remediation, ownership, and policy enforcement.

FAQs

NIST Privacy Framework, Explained

Learn how BigID helps organizations identify privacy risk, govern personal data, automate privacy operations, strengthen safeguards, and demonstrate alignment with the NIST Privacy Framework.

What is the NIST Privacy Framework?
The NIST Privacy Framework is a voluntary risk-management framework that helps organizations identify and manage privacy risk while developing products, services, systems, and business processes.
What are the five NIST Privacy Framework functions?
The framework is organized around five functions: Identify-P, Govern-P, Control-P, Communicate-P, and Protect-P. Together, they help organizations understand data processing, establish governance, manage personal data, improve transparency, and apply safeguards.
Who can use the NIST Privacy Framework?
The framework can be used by organizations of any size, industry, or maturity level. It is designed to support privacy risk management across public-sector and private-sector organizations.
Is the NIST Privacy Framework a compliance requirement?
The framework is voluntary and is not itself a regulation. Organizations can use it to structure privacy risk management, support regulatory obligations, improve governance, and communicate privacy outcomes.
How does BigID support Identify-P?
BigID discovers and classifies personal and sensitive data, maps systems and processing activities, identifies owners and third parties, and adds business, regulatory, and risk context.
How does BigID support Govern-P?
BigID connects personal data to policies, owners, stewards, obligations, processing purposes, assessments, risk tolerances, retention rules, and remediation workflows.
How does BigID support Control-P?
BigID helps organizations automate privacy rights workflows, support data minimization, enforce retention and deletion policies, and manage personal data according to approved purposes and policies.
How does BigID support Communicate-P?
BigID provides data and processing context that helps organizations understand what personal data is used, why it is processed, where it is shared, which parties are involved, and what privacy risks may affect individuals.
How does BigID support Protect-P?
BigID identifies excessive access, exposed sensitive data, risky sharing, stale permissions, over-retention, misconfigurations, and policy violations that require remediation.
How does BigID help demonstrate NIST Privacy Framework alignment?
BigID generates dashboards and evidence for data discovery, governance, privacy rights, assessments, access controls, retention, remediation, ownership, policy enforcement, and ongoing privacy reporting.

BigID for NIST Privacy Framework Alignment

Operationalize Privacy Risk. Build a More Accountable Program.

BigID helps organizations discover personal data, govern processing, automate privacy operations, reduce exposure, and generate evidence that supports Identify-P, Govern-P, Control-P, Communicate-P, and Protect-P.

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