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antispam Keeping your company data safe with new security updates to Gmail

Our detection models integrate with Google Safe Browsing machine learning technologies for finding and flagging phishy and suspicious URLs. These new models combine a variety of techniques such as reputation and similarity analysis on URLs, allowing us to generate new URL click-time warnings for phishing and malware links. As we find new patterns, our models adapt more quickly than manual systems ever could, and get better with time. [...] [more]
blog.google    Spam, Deliverability

discussion How machine learning in G Suite makes people more productive

One of the earliest machine learning use cases for G Suite was within Gmail. Historically, Gmail used a rule-based system, which meant our anti-spam team would create new rules to match individual spam patterns. Over a decade of using this process, we improved spam detection accuracy to 99%. Starting in 2014, our team augmented this rule-based system to generate rules using machine learning algorithms instead, taking spam detection one step further. Now, we use Tensor Flow and other machine learning [...] [more]
blog.google    Intelligence, Spam
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