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Google Now Blocking 100M More Gmail Spam Messages Daily Using TensorFlow

Taking further its security measures to protect consumers and businesses using Gmail, says the company it has bolstered Gmail’s anti-spam capabilities.

Google recently integrated new anti-spam protections with TensorFlow, an open-source machine learning framework.

Developed by Google, the new security measure combined with existing rules-based and ML filters helping in improving Gmail’s spam detection abilities.

The company says, using this integration it’s now getting rid of additional 100 million spam messages per day.

Google’s highly effective ML-based security tools were launched in early 2017, and helps in blocking over 99.9% spam, phishing, and malware in Gmail messages.

According to Google, TensorFlow helps them expand spam filters to block additional types of categories that weren’t previously easy to detect.

These includes an image-based messages, emails with hidden embedded malicious content, and emails that take advantage of new domains to hide spam messages within legitimate traffic.

While blocking millions more of Gmail spam, Google is also taking precautions so that it does not block important emails.

The company notes Gmail is now used by 1.5 billion people every month, followed by 5 million paying businesses using Gmail as part of G Suite.

Taking help of machine learning to determine spam messages more accurately with precision, Google said “TensorFlow helps us catch the spammers who slip through that less than 0.1 percent, without accidentally blocking messages that are important to users.”

  • ML helps to identify spam patterns in large data sets that humans might not catch.
  • It quickly adapts to ever-changing spam attempts.
  • ML-based protections help in making granular decisions by taking into all the different factors to determine spam.
  • ML-based protection helps in personalizing spam protections to each user.

Google notes, TensorFlow provide flexibility in creating an effective approach by letting them experiment and train different models in parallel, instead of running one experiment at a time.

Google plans to apply TensorFlow against phishing and malware detection to keep users safe.

Users can learn more about the security benefits of G Suite, by downloading this eBook. And, about TensorFlow, head over to tensorflow.org.

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