// THREAT DETECTION AND DATA PRIVACY TERM
Privacy Framework
A privacy framework is a structured set of guidelines, policies, and procedures an organization uses to manage and protect personal data. It helps ensure data is collected, used, stored, and shared responsibly and in compliance with relevant laws and regulations.
TECHNICAL DEFINITION
A privacy framework is an organizational blueprint comprising principles, policies, and processes designed to govern the collection, processing, storage, and sharing of Personally Identifiable Information (PII) and sensitive data, ensuring compliance with data protection regulations (e.g., GDPR, CCPA) and mitigating privacy risks through systematic data governance and risk management.
BACKGROUND
Computer security is a subdiscipline within the field of information security. It focuses on protecting computer software, systems, and networks from threats that can lead to unauthorized information disclosure, theft, or damage to hardware, software, or data, as well as to the disruption or misdirection of the services they provide.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Data Privacy Framework
- Privacy Program
- Data Protection Framework
- Privacy Management System
- Data Governance Framework
USAGE NOTE
Organizations implement privacy frameworks to establish clear boundaries for data handling, build trust with customers, and demonstrate adherence to legal and ethical data protection standards.
DEVELOPERS
Organizations developing technology related to Privacy Framework.
NIST develops widely adopted cybersecurity and privacy frameworks, including the NIST Privacy Framework, providing foundational guidance and tools that influence technology development for privacy engineering and risk management across various sectors, including defense.
Microsoft integrates privacy-by-design principles into its cloud services (Azure), enterprise software (Microsoft 365), and security offerings, developing technologies like confidential computing and advanced data governance tools that enable organizations to implement privacy frameworks.
IBM offers a suite of security and privacy solutions, including data protection, identity management, and GRC (Governance, Risk, and Compliance) platforms, such as IBM Security Guardium, designed to help enterprises operationalize privacy frameworks and comply with regulations.
OneTrust develops a comprehensive software platform for privacy, security, and governance, offering technology solutions for consent management, data mapping, risk assessments, and regulatory compliance, directly enabling organizations to build and manage privacy frameworks.
BigID specializes in data discovery, privacy automation, and data security solutions. Its technology helps organizations discover, classify, and manage sensitive and personal data across their enterprise, which is crucial for building and maintaining an effective privacy framework.
Thales provides advanced data protection and cybersecurity solutions, including data encryption, hardware security modules (HSMs), and identity and access management (IAM), critical technologies for implementing robust privacy frameworks, especially in high-security and defense contexts.
Google invests in privacy-enhancing technologies (PETs) and data governance tools within its cloud platform (Google Cloud) and AI research, focusing on areas like differential privacy and federated learning to build privacy into its services and support organizational privacy frameworks.
TrustArc offers a privacy management platform that combines technology and services to help organizations operationalize privacy programs, manage consent, conduct assessments, and ensure compliance with global privacy regulations, thereby supporting the implementation of privacy frameworks.