// THREAT DETECTION AND DATA PRIVACY TERM
Data Minimization
Data minimization is a privacy principle that means collecting, processing, and storing only the absolute minimum amount of personal data necessary to achieve a specific purpose. It helps reduce the risk of data breaches and misuse by limiting the sensitive information an organization holds.
TECHNICAL DEFINITION
Data minimization is a core privacy principle and data governance strategy advocating the collection, processing, and retention of only essential personal data required for a stated, specific purpose, thereby mitigating data breach risks, enhancing regulatory compliance (e.g., GDPR, CCPA), and reducing the attack surface.
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 Pruning
- Need-to-Know Principle
- Privacy by Design (component)
- Least Privilege (data)
USAGE NOTE
Organizations implement data minimization to comply with privacy regulations and improve their cybersecurity posture by reducing their overall data footprint.
DEVELOPERS
Organizations developing technology related to Data Minimization.
Provides data integration and software platforms for defense, intelligence, and commercial clients, often implementing granular access controls and data governance policies to manage sensitive information, aligning with data minimization principles.
Develops a wide range of cybersecurity solutions, including data loss prevention (DLP), information protection, and confidential computing, enabling organizations to control, protect, and minimize exposure of sensitive data.
Offers comprehensive data security solutions, including data governance, encryption, and access management, helping organizations minimize the collection and exposure of sensitive data while maintaining compliance.
Provides enterprise-grade security products for its cloud platform, including data loss prevention (DLP), encryption at rest and in transit, and granular access controls, supporting data minimization for its customers.
A global technology leader in defense and security, offering data protection solutions including encryption, key management, and identity & access management, which are critical for securing and minimizing access to sensitive data.
Develops privacy-enhancing technologies, particularly homomorphic encryption and secure multi-party computation, enabling organizations to perform analytics on encrypted data without exposure, directly supporting data minimization.
Specializes in secure multi-party computation (MPC) and federated learning, providing solutions that enable computation on sensitive data without revealing the underlying information, thereby facilitating data minimization.
Provides data privacy and de-identification software that enables organizations to safely use sensitive data for analytics by applying techniques like anonymization and pseudonymization, directly supporting data minimization.
Offers solutions leveraging homomorphic encryption to enable secure data search, analytics, and collaboration without decrypting the underlying information, aligning with principles of data minimization.