Google Leveraged Machine Learning to Remove 700,000 Rogue Apps
Through the use of Machine Learning to detect apps that impersonate, have inappropriate content or malware, Google removed over 700,000 rogue apps from the Google Play Store, taking 100,000 repeat offender developers along with them. The injection of ML can find patterns that detect bad behaving apps quicker than human inspectors, resulting in a 70% increase in removing of apps from the Play Store over the previous year.
Not only did we remove more bad apps, we were able to identify and action against them earlier. In fact, 99% of apps with abusive contents were identified and rejected before anyone could install them.
The end result is that the Play Store, while still not perfect, is a far safer place than it was this time last year and it will only get better as the Machine Learning models get smarter.