Keeping company data secure is priority one, and that starts with protecting the tools that your employees use every day. We’re constantly adding security features to help businesses stay ahead of potential threats, and are excited to announce new security features for Gmail customers, including early phishing detection using machine learning, click-time warnings for malicious links, unintended external reply warnings and built-in defenses against new threats.
New machine learning models in Gmail to block phishing
Machine learning helps Gmail block sneaky spam and phishing messages from showing up in your inbox with over 99.9 percent accuracy. This is huge, given that 50-70 percent of messages that Gmail receives are spam. We’re continuing to improve spam detection accuracy with early phishing detection, a dedicated machine learning model that selectively delays messages (less than 0.05 percent of messages on average) to perform rigorous phishing analysis and further protect user data from compromise.
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.
Original article Published here >
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