MIT Unveils Novel 20 to 30 Times Faster Method For Securing Cloud-Based AI

The use of public clouds is on the rise with advisory firm Gartner forecasting that a whopping $186.4 billion will be spent on the services globally in 2018. Tech giants such as Amazon, Google and Microsoft have even launched cloud-based artificial intelligence (AI) platforms capable of conducting computation-heavy tasks through the use of convolutional neural networks. However, with great power comes great responsibility. As the cloud becomes ever more useful in ever more applications the potential for security breaches also increases. A study conducted in 2016 by McAfee-acquired security firm Skyhigh Networks on 30 million of its software users revealed that an average enterprise experiences an alarming 23.2 cloud-related threats per month.