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.

In today’s digital age, cybersecurity is an ever-present concern for businesses and individuals alike. The use of threat intelligence has become a cornerstone in the fight against cyber threats, offering invaluable insights for preventing attacks. However, this comes with its own set of challenges, particularly in terms of maintaining data privacy standards. This guide explores the delicate balance between leveraging threat intelligence for security and upholding user data privacy rights.

Today, data privacy is the new strategic priority for many companies. Prioritizing data privacy boils down to two key drivers: Indeed, the awareness piece has grown significantly, both leading to and because of stringent data privacy regulations, including GDPR and CCPA, the California Consumer Privacy Act. (First time on Splunk.com? You might see a pop-up banner specifically for you to opt in or out.) So, let’s take a look at the concept of data privacy and what’s behind it.

Data privacy has emerged as a paramount concern, transcending borders and industries. The introduction of the General Data Protection Regulation (GDPR) by the European Union marked a significant milestone in the global data privacy landscape. However, the conversation around data privacy extends far beyond GDPR, encompassing various regulations worldwide.