Man and Machine Learning Merging to Boost Cyber-security

Bogdan Botezatu discusses how defenders are using machine learning algorithms to help beat the malware and give themselves the best possible chance of evading and protecting against APTs. While some predict that particular activities could be replaced almost entirely (78 percent) by machine learning and artificial intelligence algorithms, they mostly refer to physical and predictable activities, such as operating machinery or assembly line working. When it comes to machines completely taking over our jobs and lives, rest assured, we still have a long way to go. As for cyber-security, with more than 300,000 unique malware samples emerging each month, using flesh-and-blood security researchers to manually go through that much data is unrealistic and counterproductive. To that end, modern internet security companies have started developing and training machine learning algorithms to take over a great deal of the daily automation involving malware detection and analysis, with the same accuracy as a highly skilled and experienced security researcher.