Google says it is now blocking close to 100 million more spam messages daily following the recent implementation of TensorFlow, its in-house open-source machine learning AI framework.
TensorFlow has been added alongside existing Artificial Intelligence (AI) and rule-based filters that Gmail has utilised for years. To put it into context, Gmail already blocks 99.99% of spam for its 1 billion plus users, meaning there is still 0.1% of spam that still comes through to users inbox. 'Within Gmail, we're now experimenting TensorFlow in other security-related areas, such as phishing and malware, as part of our continuous efforts to keep users safe, ' Google explains on its blog. Getting the hand on last bit of spam is increasingly hard, but TensorFlow has been great for terminating that gap. It has been praised both for its flexibility and capacity to scale alongside working with Google's other AI services. The technology also makes it easier to adapt quickly to new tactics used by spammers while personalizing spam protections for each user as one person's spam may be an important message for someone else.
Google is using its TensorFlow platform to block millions of spam messages every day.
"Personalization is possible with [machine learning] - [it does] a really good job of taking into account the users particular preferences", said Kumaran.By using TensorFlow to scan incoming emails, the company is now able to block image-based messages, emails with hidden embedded content and messages from new domains trying to hide a low volume of spam within legitimate traffic. "ML allows us to look at all of these signals together to make a determination".
Google continued: "Where did we find these 100 million extra spam messages?"
Given that 97% of people are unsuccessful with their attempts to detect phishing scam emails, the efforts of the Mountain View-based company to protect its users safe from cybercriminals are laudable.