Cybersecurity 101back-iconWhat is Privacy-enhancing technologies (PETs)?

What is Privacy-enhancing technologies (PETs)?

Privacy-Enhancing Technologies (PETs) are tools, techniques, and methods that enable organizations to collect, process, analyze, and share data while minimizing the exposure of personal information. Instead of relying solely on organizational policies, PETs use technical controls to protect privacy throughout the data lifecycle.

As organizations generate and exchange increasing amounts of sensitive data, PETs help reduce privacy risks without preventing legitimate data use. They allow businesses to gain insights from data, collaborate with partners, and deliver digital services while limiting access to personally identifiable information (PII).

Privacy-enhancing technologies are becoming increasingly important for organizations seeking to strengthen data protection, comply with privacy regulations, and build customer trust.

Why Privacy-Enhancing Technologies matter

Organizations often need to analyze or share data across departments, cloud environments, or third-party services. Without appropriate safeguards, these activities can expose sensitive information or increase the risk of data breaches.

Privacy-enhancing technologies help organizations:

  • Reduce the exposure of personal data.
  • Support compliance with privacy regulations.
  • Enable secure data sharing and collaboration.
  • Minimize the risk of unauthorized access.
  • Improve customer trust and transparency.
  • Protect sensitive information throughout its lifecycle.

PETs help organizations balance data utility with privacy protection.

Common types of Privacy-Enhancing Technologies

Organizations use different PETs depending on their privacy and business requirements.

Privacy-enhancing technology Purpose
Encryption Protects data at rest and in transit
Tokenization Replaces sensitive values with non-sensitive tokens
Data masking Hides sensitive information from unauthorized users
Differential privacy Enables data analysis while limiting the disclosure of individual records
Homomorphic encryption Allows computations on encrypted data without decrypting it
Secure multi-party computation (SMPC) Enables multiple parties to compute results without revealing their private data
Federated learning Trains AI models without centralizing raw data

Each technology addresses different privacy challenges and may be used together to strengthen data protection.

Where PETs are used

Privacy-enhancing technologies support a wide range of industries and use cases.

Use case Benefit
Healthcare Protect patient information during research and data sharing
Financial services Secure customer and transaction data
Artificial intelligence Train models while reducing exposure of personal data
Cloud computing Protect sensitive information stored and processed in the cloud
Government Enable secure data sharing across agencies
Data analytics Generate insights while preserving individual privacy

Organizations often combine PETs with access controls, monitoring, and governance to create a comprehensive privacy program.

How Hexnode supports data privacy

Hexnode UEM helps organizations secure the endpoints that access, process, and store sensitive information. Administrators can enforce device security policies, configure encryption on supported platforms, deploy operating system updates, manage approved applications, and monitor device compliance from a centralized console.

Hexnode UEM also supports device restrictions, application management, inventory reporting, and remote security actions such as device lock and enterprise wipe. These capabilities help organizations strengthen endpoint security and reduce the risk of personal data exposure, complementing broader privacy strategies that include Privacy-Enhancing Technologies.

FAQs

No. While PETs help organizations meet privacy requirements, they also reduce security risks, enable secure collaboration, and allow organizations to extract value from data while protecting individual privacy.

No. Encryption is itself a Privacy-Enhancing Technology, but no single PET addresses every privacy challenge. Organizations often combine multiple PETs to protect data throughout its lifecycle.