When Google shared earlier this year that more than 700,000 apps were removed from Google Play in 2017 for violating the app store’s policies (a 70 percent year-over-year increase), the company credited its implementation of machine learning models and techniques to detect abusive app content and behaviors such as impersonation, inappropriate content, or malware.

But the company did not share any details. Now we’re learning that 6 out of every 10 detections were thanks to machine learning. Oh, and the team says “we expect this to increase in the future.”

Every day, Play Protect automatically reviews more than 50 billion apps — these automatic reviews led to the removal of nearly 39 million PHAs last year, Google shared.

Source: Google: 60.3% of potentially harmful Android apps in 2017 were detected via machine learning | VentureBeat