Skip to content

Data Privacy Tools Gain Traction Worldwide

Data privacy tools are becoming crucial globally. They manage data use and protect confidentiality, but challenges remain in implementation and standardization.

This picture shows papers,computer, telephone, cups mobile phone on the table
This picture shows papers,computer, telephone, cups mobile phone on the table

Data Privacy Tools Gain Traction Worldwide

Data accountability tools and privacy-enhancing technologies are gaining traction worldwide. These tools manage data use, track compliance, and protect data confidentiality. However, their implementation varies, and information leakage risks persist.

Data accountability tools provide controls over data gathering and usage. They manage data use, track compliance, and establish rules for data access. Meanwhile, privacy-enhancing technologies enable data collection, processing, analysis, and sharing while protecting data confidentiality.

OECD identifies four categories of these technologies. Data obfuscation tools alter data to protect privacy, enabling privacy-preserving machine learning and information verification without sensitive data disclosure. Encrypted data processing tools allow computations over encrypted data, addressing traditional vulnerabilities when data require decryption for processing. Federated and distributed analytics permit executing analytical tasks on data not visible to processors, reducing the need for sensitive data transfer.

Regulatory frameworks increasingly recognize these technologies. Legal requirements for data protection by design are in place across multiple jurisdictions. However, implementation approaches vary significantly between countries, with some relying on best practices and guidance rather than mandatory requirements.

Despite technical challenges like higher computation costs and data cleaning difficulties in encrypted data processing, these tools offer promising solutions for data protection. As information leakage risks persist, further research and standardization are needed to ensure required noise levels across different scenarios.

Read also:

Latest