MITs AI-Based Cybersecurity Solution Sounds Impressive But Prevention-Based Solutions May Still Prevail

MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), along with the AI startup PatternEx, have created a hybrid solution that can catch 85 percent of the attacks on a network by combining AI with human input. The method is up to ten times more effective than other purely AI-based solutions on the market right now but could still be inadequate in the real world of data breaches.

Some of the newest anti-malware solutions, especially in the enterprise (but also in some consumer products), include machine learning to catch malware or data breaches in progress. MIT CSAIL’s and PatternEx’s solution, called AI2 (because it uses both “artificial intelligence” and “analyst intuition”), seems to be anywhere from 3x to 10x better than other solutions, while showing 5x fewer false positives. For the full article click here 

from cyber security caucus http://ift.tt/1WCBTWa
via IFTTT