PETs - Privacy-enhancing technologies and Software Development (2024)

FAQs

What are privacy enhancing technologies for PETs? ›

Privacy Enhancing Technologies (PETs) are a suite of tools that can help maximise the use of data by reducing risks inherent to data use. Some PETs provide new tools for anonymisation, while others enable collaborative analysis on privately-held datasets, allowing data to be used without disclosing copies of data.

Protecting Personal Information

PETs ensure that user data is collected, processed, and stored securely, reducing the risk of data breaches and unauthorized access. This not only protects the privacy of individuals but also helps companies avoid costly lawsuits and reputational damage.

PETs include methods like encryption, anonymization, access controls, and solutions such as differential privacy, synthetic data generation, and confidential computing. They help organizations and individuals maintain control over their data and mitigate privacy risks in an increasingly data-centric world.

Privacy-enhancing technologies (PETs) are a range of technologies (hardware or software) designed to enhance data privacy by minimising the amount of personally identifiable information (PII) that is collected, processed, or shared.

Technology continues to revolutionize the landscape of pet care, offering many innovative solutions to meet the evolving needs of pet owners. The pet tech sector is booming with groundbreaking advancements, from smart collars and GPS trackers to automated feeding systems and telemedicine platforms.

Examples of privacy enhancing technologies that are being researched or developed include limited disclosure technology, anonymous credentials, negotiation and enforcement of data handling conditions, and data transaction logs.

Using current data protection legislation as point of departure we derive the following eight privacy design strategies: minimise, hide, separate, aggregate, inform, control, enforce, and demonstrate.

Privacy-enhancing technologies (PETs) are a broad range of technologies (hardware or software solutions) to ensure privacy and data protection while allowing organizations to extract value from data and unleash its full commercial, scientific and social potential.

What are “Privacy Enhancing Technologies”? PETs enable companies to embed privacy-by-design principles into their data governance practices. By applying PETs, companies can minimize the amount of personal data they collect, use and share, while maximizing data security.

Another example of a privacy-enhancing technology is the use of virtual private networks (VPNs).

What is an example of a privacy preserving technology? ›

Soft privacy technologies

Examples include differential privacy (DP), and tunnel encryption (e.g. SSL).

The Three Elements of the CIA Triad. At the core of robust information security lies the CIA triad—a foundational framework comprising confidentiality, integrity, and availability. These three pillars form the bedrock of your organization's defense, weaving together to create a tapestry of protection.

Privacy-Enhancing Technologies (PETs) Allow parties to collaborate while guaranteeing that any shared data will be used only for its intended purposes. Glean insights from private data without revealing the sensitive contents of the data. Carry out trusted computation in an untrusted environment.

A Virtual Private Network (VPN) is a technology that encrypts your Internet connection, effectively disguising your online activities and location. By routing your data through a secure server, a VPN masks your IP address, making it more difficult for third parties to track you.

Technological innovation has outpaced our privacy protections. As a result, our digital footprint can be tracked by the government and corporations in ways that were once unthinkable. This digital footprint is constantly growing, containing more and more data about the most intimate aspects of our lives.

A range of digital technologies are increasingly being applied to animals. These include drones to monitor and count animals on farms and in the wild, artificial intelligence and machine learning to interpret animal welfare and emotional states, and robots that look and act like animals.

AI & machine learning

Harnessing computer power rather than using human labour to analyse thousands of images and other datasets allows us to speed up species identification, monitor wildlife in real time and predict when and where endangered species are most at risk.