Google Arms Gmail Security with Machine Learning

Google rolls out four security updates to protect enterprise Gmail accounts from phishing, data loss, and other threats.

Google is adding four new security measures to protect Gmail business users from spam, phishing, data loss, ransomware, and other workplace security threats.
Email attacks are constantly evolving, and the email attack vector is by far the preferred way for attackers to gain access to enterprise data, says Gmail product manager Sri Somanchi. We see all kinds of attacks, including phishing, malware, and ransomware attacks.
Machine learning is a common theme in todays updates. Google
reports
about 50-70% of the messages Gmail receives are spam, and machine learning helps block it with over 99.9% accuracy. Its aiming to weed out spam with early phishing detection, Googles machine learning model used to selectively delay messages for phishing analysis.
The system learns by comparing genuine messages with a similar pool of fake emails, Somanchi explains. It tracks attributes of each message to find details that differentiate suspicious from legitimate mails, and uses those indicators to perform future phishing checks.
Gmails phishing detection models integrate with Google Safe Browsing, a machine learning model for detecting phishy URLs. The two models combine techniques, like URL reputation and similarity analysis, to enable URL click-time warnings for malware links. The machine learning systems adapt as they find new patterns with the idea of improving accuracy.
Unintended external reply warnings are intended to help users think twice before sending sensitive data to third parties. If someone tries to respond to someone outside the company domain, they see a warning to verify whether they intended to send that email.
Using forged emails to target enterprise users to reply with sensitive data has become an increasingly common phishing scam, Somanchi says.
Contextual intelligence determines whether the recipient is an existing or regular contact, so warnings are not displayed unnecessarily. Given the potentially severe consequences of phishing attacks, he continues, the warnings are set by default and can only be disabled by an administrator.
Google notes that it has also implemented defenses against ransomware and polymorphic malware.
We correlate spam signals with attachment and sender heuristics, to predict messages containing new and unseen malware variants, Somanchi explains. These protections enable Gmail to better protect our users from zero-day threats, ransomware and polymorphic malware.
All of these features will be available to enterprise users over the next one- to three days. All are also available to consumers, with the exception of unintended external reply warnings.
Todays rollout arrives nearly one month after a Google Doc
phishing attack
scammed more than one million users. Victims were tricked into clicking a link that enabled access to their Google Drive through OAuth authentication connections, giving the attacker permission to act on behalf of their account.
It also follows Googles February publication of data highlighting security threats putting organizations at risk. Research found attackers send 4.3 times more malware, 6.2 times more phishing emails, and 0.4 times as much spam, to corporate inboxes than to personal email addresses.

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Google Arms Gmail Security with Machine Learning