// THREAT DETECTION AND DATA PRIVACY TERM
Pseudonymization
Pseudonymization is a data protection technique where directly identifiable information in a dataset is replaced with artificial identifiers, or pseudonyms, making it difficult to link the data back to an individual without additional information.
TECHNICAL DEFINITION
Pseudonymization is a privacy-enhancing technique for processing personal data by replacing direct identifiers with artificial pseudonyms, thereby reducing re-identification risk and aiding compliance with regulations like GDPR, while still allowing for data analysis and linkage with supplementary information held separately.
BACKGROUND
Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Data masking
- Tokenization
- Data anonymization (partial)
- De-identification
- Alias creation
USAGE NOTE
It is often used in research and analytics to protect individual privacy while enabling valuable data insights, distinct from full anonymization as re-identification is still technically possible with the right additional data.
DEVELOPERS
Organizations developing technology related to Pseudonymization.
IBM offers comprehensive data privacy and security solutions, including data masking and pseudonymization capabilities within products like IBM Security Guardium and Security Verify, enabling organizations, including defense contractors, to protect sensitive data while maintaining compliance.
Microsoft provides extensive data privacy features across its cloud services (Azure) and enterprise products, incorporating pseudonymization techniques (e.g., dynamic data masking in Azure SQL Database) to help government and defense organizations secure sensitive information and meet regulatory compliance.
Thales is a global leader in aerospace, defense, and digital identity & security. They develop advanced data protection solutions, including encryption and key management that support pseudonymization strategies for sensitive government and defense data, ensuring secure access and use.
Privitar specializes in privacy engineering software that enables organizations to safely use sensitive data for analytics and machine learning. Their platform provides advanced pseudonymization, anonymization, and other privacy-enhancing techniques crucial for defense and intelligence sectors.
Informatica offers enterprise data management solutions, including robust data masking and pseudonymization capabilities. These tools are vital for protecting sensitive data in non-production environments, analytics, and data sharing within large organizations and government agencies.
Anonyome Labs develops the Sudo Platform, providing individuals and organizations with the ability to create and manage multiple verified pseudonymous digital identities (sudopersonas). This technology directly enables pseudonymization for enhanced privacy and security in online interactions and communications.
SAS Institute provides leading analytics and data management software. Their solutions include data governance and privacy features that incorporate data masking and pseudonymization, enabling secure analysis of sensitive data for defense, intelligence, and government clients.