Users are becoming increasingly aware of where and how their information is shared, and their concerns regarding the need to keep that data private are growing in turn. Digitalization, rising daily averages for time spent on the Internet and connected devices, along with the ongoing proliferation of cyberattacks, have made individuals more cautious than ever when it comes to providing information online – and rightfully so.

We should all be concerned with our health and well-being. For the most part, we all aspire for good health. Now that doesn’t always mean we are perfect, but we understand the changes and course corrections necessary to feel better physically, mentally, and emotionally. This may include actions like getting more sleep, exercising regularly, routine doctor’s visits and making better food choices along the way.

With Data Privacy Day coming up on January 28, now’s the time to turn over a new leaf when it comes to protecting your personal data.

Artificial intelligence (AI) has seamlessly woven itself into the fabric of our digital landscape, revolutionizing industries from healthcare to finance. As AI applications proliferate, the shadow of privacy concerns looms large. The convergence of AI and privacy gives rise to a complex interplay where innovative technologies and individual privacy rights collide.

The Internet has become an integral part of everyday life. Every day, we exchange information, make purchases, and communicate with friends and colleagues via messages, email, and phone calls. However, we often do not think about how much information we provide about ourselves online when we make publications on social networks or simply search for a necessary video clip. According to Statista, as of April 2023, there were 5.18 billion Internet users worldwide.

The challenge of telling humans and bots apart is almost as old as the web itself. From online ticket vendors to dating apps, to ecommerce and finance — there are many legitimate reasons why you'd want to know if it's a person or a machine knocking on the front door of your website. Unfortunately, the tools for the web have traditionally been clunky and sometimes involved a bad user experience.

Many applications rely on user data to deliver useful features. For instance, browser telemetry can identify network errors or buggy websites by collecting and aggregating data from individuals. However, browsing history can be sensitive, and sharing this information opens the door to privacy risks. Interestingly, these applications are often not interested in individual data points (e.g.