user tracking | Breaking Cybersecurity News | The Hacker News

Google on Thursday announced that it will start testing a new feature called "Tracking Protection" beginning January 4, 2024, to 1% of Chrome users as part of its efforts to  deprecate third-party cookies  in the web browser. The setting is designed to limit "cross-site tracking by restricting website access to third-party cookies by default," Anthony Chavez, vice president of Privacy Sandbox at Google,  said . The tech giant noted that participants for Tracking Protection will be selected at random and that chosen users will be notified upon opening Chrome on either a desktop or an Android device. The goal is to restrict third-party cookies (also called "non-essential cookies") by default, preventing them from being used to track users as they move from one website to the other for serving personalized ads. While several major browsers like Apple Safari and Mozilla Firefox have either already placed  restrictions  on third-party cookies via features ...

Google has officially  released  the first developer preview for the Privacy Sandbox on Android 13, offering an "early look" at the SDK Runtime and Topics API to boost users' privacy online. "The Privacy Sandbox on Android Developer Preview program will run over the course of 2022, with a beta release planned by the end of the year," the search giant  said  in an overview. A "multi-year effort,"  Privacy Sandbox  on Android aims to create technologies that's both privacy-preserving as well as keep online content and services free without having to resort to opaque methods of digital advertising. The idea is to limit sharing of user data with third-parties and operate without cross-app identifiers, including advertising ID, a unique, user-resettable string of letters and digits that can be used to track users as they move between apps. Google originally  announced  its plans to bring Privacy Sandbox to Android earlier this February, followin...

As SaaS providers race to integrate AI into their product offerings to stay competitive and relevant, a new challenge has emerged in the world of AI: shadow AI.  Shadow AI refers to the unauthorized use of AI tools and copilots at organizations. For example, a developer using ChatGPT to assist with writing code, a salesperson downloading an AI-powered meeting transcription tool, or a customer support person using Agentic AI to automate tasks – without going through the proper channels. When these tools are used without IT or the Security team's knowledge, they often lack sufficient security controls, putting company data at risk. Shadow AI Detection Challenges Because shadow AI tools often embed themselves in approved business applications via AI assistants, copilots, and agents they are even more tricky to discover than traditional shadow IT. While traditional shadow apps can be identified through network monitoring methodologies that scan for unauthorized connections based on...

You might be aware of websites, banks, retailers, and advertisers tracking your online activities using different Web "fingerprinting" techniques even in incognito/private mode, but now sites can track you anywhere online — even if you switch browsers. A team of researchers has recently developed a cross-browser fingerprinting technique — the first reliable technique to accurately track users across multiple browsers based on information like extensions, plugins, time zone and whether or not an ad blocker is installed. Previous fingerprinting methods usually only work across a single browser, but the new method uses operating system and hardware level features and works across multiple browsers. This new fingerprinting technique ties digital fingerprint left behind by a Firefox browser to the fingerprint from a Chrome browser or Windows Edge running on the same device. This makes the method particularly useful to advertisers, enabling them to continue serving tar...