Gmail is Google’s email client that is incredibly popular.
The software is used across the globe by individuals and workplaces.
Google harnesses the power of machine learning to help improve the security of Gmail overall.
In fact, the firm has insisted it currently blocks 99.9 percent of “spam, phishing, and malware from reaching Gmail inboxes” at the moment.
However, Google has now discussed another feature that aims to improve the security of Gmail further that was recently implemented and is responsible for “blocking around 100 million additional spam messages every day”.
The American tech giant has declared new protectors have arrived for Gmail powered by its own open-source machine learning framework, TensorFlow.
Google has declared the new technology has allowed it to block spam messages that were previously “very hard to detect”, meaning users should be seeing less emails that are unwanted.
Explaining the change, the American tech giant said: “1.5 billion people use Gmail every month, and 5 million paying businesses use Gmail in the workplace as a part of G Suite.
“For consumers and businesses alike, a big part of Gmail’s draw is its built-in security protections.
“Good security means constantly staying ahead of threats, and our existing ML models are highly effective at doing this—in conjunction with our other protections, they help block more than 99.9 percent of spam, phishing, and malware from reaching Gmail inboxes.
“Just as we evolve our security protections, we also look to advance our machine learning capabilities to protect you even better.
“That’s why we recently implemented new protections powered by TensorFlow, an open-source machine learning (ML) framework developed at Google.”
Google added the new machine learning framework from TensorFlow does not replace the existing technologies that were already in place, but it simply exists alongside them.
The Mountain View company went on: “These new protections complement existing ML and rules-based protections, and they’ve successfully improved our detection capabilities.
“With TensorFlow, we are now blocking around 100 million additional spam messages every day.”
Additionally, Google also detailed the new kinds of spam messages that are now being thwarted on Gmail.
These range from emails with hidden content to image-based documents.
Google continued: “Where did we find these 100 million extra spam messages? We’re now blocking spam categories that used to be very hard to detect.
“Using TensorFlow has helped us block image-based messages, emails with hidden embedded content, and messages from newly created domains that try to hide a low volume of spammy messages within legitimate traffic.”