Google is integrating a machine learning model into the Chrome browser to detect potential phishing attacks.
With upcoming on-device machine learning advancements in #Chromeblock unwanted notifications, translate more sites into your preferred language, and more.
Learn how we’re building a safer, more accessible and more personalized experience for you → https://t.co/3dbNPo4P15 pic.twitter.com/fKWD3n6rv
— Chrome (@googlechrome) June 9, 2022
By data developers, the algorithm identifies 2.5 times more potentially malicious sites and phishing attacks than the previous model. This ensures safer and more secure web surfing, according to the company.
Google also announced the integration of an AI model that disables site requests to send notifications. According to the company, the algorithm analyzes the user’s previous actions and predicts the likelihood of granting such permissions.
Another model is for optimizing the toolbar in Chrome. Depending on the user’s actions, the browser will highlight interface elements that are most likely to be useful at the moment.
Innovations will appear in the next update of Chrome. The company emphasized that machine learning models will process requests directly on the user’s device.
Recall that in April, Google Lense text recognition was added to Chrome.
In February, browser developers fixed 27 vulnerabilities, including eight high-risk ones.
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