Google developers continue to enhance their Chrome browser by integrating artificial intelligence (AI) tools aimed at improving user experience. The latest update introduces a neural network-based feature that analyzes web pages to identify fraudulent sites. This tool promises to strengthen browser security by leveraging AI to detect potentially harmful websites that might pose a risk to users.
How It Works
The new feature will be available to Chrome users across Windows, macOS, and Linux operating systems. A standout aspect of this update is that the AI-driven algorithm operates entirely locally on the user’s device. This means that it does not send any data to Google servers, addressing privacy concerns that often arise with online tools. By processing the data locally, Google avoids potential issues related to user data security while still offering robust protection against fraudulent websites. Users can enable the fraud detection tool through a setting in the Chrome browser, which has been made available in recent beta versions on the Canary channel.
Comparing Chrome and Microsoft Edge’s Approaches
Google’s new feature shares similarities with Microsoft’s recently announced “malicious application blocker” for Edge, adds NIX Solutions. Both tools use neural networks to detect cyber fraud and identify malicious websites. However, there are key differences between the two implementations. In Microsoft Edge, the malicious application blocker is not activated by default; users must manually enable it in the settings. In contrast, Chrome’s fraud detection feature will be activated by default when it arrives in the stable release of the browser, making it more accessible and easier to use for the average user.
As these developments unfold, we’ll keep you updated on any further advancements in AI-driven security features in Chrome and other major browsers.