Google has announced that it is using «machine learning» templates that can block up to 99.9% of all phishings and spam that a user would receive in their Gmail inbox. According to the note on the company’s blog, all this learning will also serve to reinforce the Google Safe Browsing tool, which detects malicious links while browsing.
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If that is not enough, Google has also created a system that delays the delivery of a tiny amount of suspicious messages so that it can investigate it more thoroughly for phishing. Most malicious emails received will continue to be detected and blocked automatically.
Gmail is even more secure with these changes – Photo: Disclosure / Google
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As a way of trying to protect users’ personal data, Gmail will also gain a feature that, when replying to an external email message from someone the user does not communicate with often, the system will ask if you really want to send. This function already existed in corporate Gmail, but many companies can choose not to activate it if they want to.
Does it really block everything?
In practice, for the user’s daily life, nothing changes. However, if Google’s promise is confirmed, the chances of a Gmail account receiving phishing are even less with all this reinforcement in the security of the email service.
Machine Learning, translated as “Machine Learning”, is a data analysis methodology that uses algorithms that learn interactively. A computer with this technology can find information even if it has not been specifically programmed for it in advance. The more data you receive, the more you will learn and find your own answers on your own. Thus, with 99.9% of machine hits in Gmail, the chance of receiving spam or phishing scams is greatly reduced.