What is Privacy Framework?
A privacy framework is a structured set of guidelines, standards, and best practices that organizations use to develop and maintain their data protection and privacy compliance programs.
A privacy framework provides a structured approach for organizations to identify, assess, and manage privacy risks. Frameworks may be regulatory (such as the GDPR's principles), industry-specific (such as HIPAA requirements), or voluntary (such as the NIST Privacy Framework or ISO 27701). They provide a common language and set of expectations that organizations can use to build, evaluate, and mature their privacy programs.
Common privacy frameworks include the NIST Privacy Framework with its five functions (Identify-P, Govern-P, Control-P, Communicate-P, Protect-P), the AICPA Privacy Management Framework, the ISO 27701 Privacy Information Management System, and various national frameworks published by data protection authorities. Organizations often adopt multiple frameworks to address different regulatory requirements and business needs.
ComplyIQ supports multiple privacy frameworks simultaneously, allowing organizations to map their controls and practices against various frameworks and identify where a single control satisfies multiple framework requirements. This unified approach reduces duplication of effort and provides a comprehensive view of the organization's privacy posture.
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Related Terms
Privacy Program
A privacy program is a comprehensive organizational framework encompassing the policies, procedures, people, and technologies that manage an organization's data protection obligations and privacy risks.
NIST Privacy Framework
The NIST Privacy Framework is a voluntary tool developed by the National Institute of Standards and Technology to help organizations identify and manage privacy risks through a flexible, outcome-based approach.
ISO 27701
ISO 27701 is an international standard that extends ISO 27001 and ISO 27002 to include privacy-specific requirements for establishing, implementing, maintaining, and improving a Privacy Information Management System (PIMS).
Data Governance
Data governance is the overall management of data availability, usability, integrity, and security within an organization, establishing policies, procedures, and accountability for data management.