MIT develops AI-based cyber security platform
Security researchers at the Massachusetts Institute of Technology have developed a cyber security platform based on Artificial Intelligence. ‘A12’ can predict, detect and stop 85% of cyber attacks by reviewing data from more than 3.6 billion lines of log files each day. From this, it detects and informs its users of any suspicious activity and an analyst will then identify which events are attacks. Feedback is incorporated into the machine’s learning system, ensuring that the more data it analyses, the more accurate A12 becomes. Tests have shown that A12 is approximately three times better than similar automated cyber attack detection systems, while also reducing the number of false positives by a factor of five. 

In Brief What if we could Predict when a cyber attack is going to occur before it actually happens and prevent it? Isn't it revolutionary idea for Internet Security?



Security researchers at MIT have developed a new Artificial Intelligence-based cyber security platform, called 'AI2,' which has the ability to predict, detect, and stop 85% of Cyber Attacks with high accuracy.

How Does AI2 Work?

UPCOMING WEBINAR 🔐 Mastering API Security: Understanding Your True Attack Surface Discover the untapped vulnerabilities in your API ecosystem and take proactive steps towards ironclad security. Join our insightful webinar! Join the Session

Video Demonstration

According to Nitesh Chawla, computer science professor at Notre Dame University, AI2 "continuously generates new models that it can refine in as little as a few hours, meaning it can improve its detection rates significantly and rapidly. The more attacks the system detects, the more analyst feedback it receives, which, in turn, improves the accuracy of future predictions – that human-machine interaction creates a beautiful, cascading effect."

Cyber security is a major challenge in today's world, as government agencies, corporations and individuals have increasingly become victims of cyber attacks that are so rapidly finding new ways to threaten the Internet that it's hard for good guys to keep up with them.A group of researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) are working with machine-learning startup PatternEx to develop a line of defense against such cyber threats.The team has already developed an Artificial Intelligence system that can detect 85 percent of attacks by reviewing data from more thanand informs anything suspicious.The new system does not just rely on the artificial intelligence (AI), but also on human input, which researchers call Analyst Intuition (AI), which is why it has been given the name oforThe system first scans the content with unsupervised machine-learning techniques and then, at the end of the day, presents its findings to human analysts.The human analyst then identifies which events are actual cyber attacks and which aren't. This feedback is then incorporated into the machine learning system of AI2 and is used the next day for analyzing new logs.It's simple:In its test, the team demonstrated that AI2 is roughly 3 times better than similar automated cyber attack detection systems used today. It also reduces the number of false positives by a factor of five.You can also watch the video for a quick overview of the way AI2 works.The team presented their work in a paper titled, PDF ], last week at the IEEE International Conference on Big Data Security in New York City.So, let's see how AI2 helps create The Internet the safer place and how long it will take to be implemented into large-scale security platforms in the near future.