Menu
AI + humans = kick-ass cybersecurity

AI + humans = kick-ass cybersecurity

A new hybrid system from MIT can detect 85 percent of attacks

MIT's AI-based system combs through data and presents suspicious activity to human analysts. Credit: Kalyan Veeramachaneni/MIT CSAIL

MIT's AI-based system combs through data and presents suspicious activity to human analysts. Credit: Kalyan Veeramachaneni/MIT CSAIL

Neither humans nor AI has proven overwhelmingly successful at maintaining cybersecurity on their own, so why not see what happens when you combine the two? That's exactly the premise of a new project from MIT, and it's achieved some pretty impressive results.

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and machine-learning startup PatternEx have developed a new platform called AI2 that can detect 85 per cent of attacks. It also reduces the number of "false positives" - non-threats mistakenly identified as threats - by a factor of five, the researchers said.

The system was tested on 3.6 billion pieces of data generated by millions of users over a period of three months. The researchers presented a paper summarising the project earlier this month at the IEEE International Conference on Big Data Security.

"You can think about the system as a virtual analyst," said CSAIL research scientist Kalyan Veeramachaneni, who developed AI2 with Ignacio Arnaldo, a chief data scientist at PatternEx and a former CSAIL postdoc. "It 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."

Even as fears abound regarding the job-replacing potential of artificial intelligence, it's becoming increasingly apparent that combining AI with human insight can deliver much better results than either side could produce alone. Just last week, for example, Spare5 released a new platform that applies a combination of human insight and machine learning to help companies make sense of unstructured data.

In the world of cybersecurity, human-driven techniques typically rely on rules created by living experts and therefore miss any attacks that don’t match the rules. Machine-learning approaches, on the other hand, rely on anomaly detection, which tends to trigger false positives that create distrust of the system and still end up having to be investigated by humans.

Creating cybersecurity systems that merge human and computer-based approaches isn't easy, though, partly because of the challenge of manually labeling cybersecurity data for the algorithms. For many tasks, such as visual recognition, labeling is just a matter of enlisting a few human volunteers on a crowdsourcing site like Amazon Mechanical Turk, but not many workers have the skills needed to apply labels like "DDOS" or "exfiltration attacks", Veeramachaneni said. "You need security experts."

Experts, meanwhile, tend to be short on time. Recognizing that constraint, AI2 uses machine learning first to find the most important potential problems; only then does it show the top events to analysts for labeling. On day one of its training, AI2 picks the 200 "most abnormal" events using unsupervised machine learning and gives them to the human expert, MIT explained. Those analysts then confirm which events are actual attacks, and the system incorporates that feedback into its models for the next set of data.

As the system improves over time, the number of events analysts must evaluate is reduced dramatically, MIT said.

"The more attacks the system detects, the more analyst feedback it receives, which in turn improves the accuracy of future predictions," Veeramachaneni says. "That human-machine interaction creates a beautiful, cascading effect."

Follow Us

Join the New Zealand Reseller News newsletter!

Error: Please check your email address.

Tags cybersecurityAIsecurityartificial intelligence

Featured

Slideshows

Reseller News launches inaugural Hall of Fame lunch

Reseller News launches inaugural Hall of Fame lunch

Reseller News welcomed 2015 and 2016 inductees - Darryl Swann, Dave Rosenberg, Gary Bigwood, Keith Watson, Mike Hill and Scott Green - to the inaugural Reseller News Hall of Fame lunch, held at the French Cafe in Auckland. The inductees discussed how the channel can collectively work together to benefit New Zealand, the Kiwi skills shortage and the future of the industry. Photos by Maria Stefina.

Reseller News launches inaugural Hall of Fame lunch
Educating from the epicentre - Why distributors are the pulse checkers of the channel

Educating from the epicentre - Why distributors are the pulse checkers of the channel

​As the channel changes and industry voices deepen, the need for clarity and insight heightens. Market misconceptions talk of an “under pressure” distribution space, with competitors in that fateful “race for relevance” across New Zealand. Amidst the cliched assumptions however, distribution is once again showing its strength, as a force to be listened to, rather than questioned. Traditionally, the role was born out of a need for vendors and resellers to find one another, acting as a bridge between the testing lab and the marketplace. Yet despite new technologies and business approaches shaking the channel to its very core, distributors remain tied to the epicentre - providing the voice of reason amidst a seismic industry shift. In looking across both sides of the vendor and partner fences, the middle concept of the three-tier chain remains centrally placed to understand the metrics of two differing worlds, as the continual pulse checkers of the local channel. This exclusive Reseller News Roundtable, in association with Dicker Data and rhipe, examined the pivotal role of distribution in understanding the health of the channel, educating from the epicentre as the market transforms at a rapid rate.

Educating from the epicentre - Why distributors are the pulse checkers of the channel
Kiwi channel reunites as After Hours kicks off 2017

Kiwi channel reunites as After Hours kicks off 2017

After Hours made a welcome return to the channel social calendar last night, with a bumper crowd of distributors, vendors and resellers descending on The Jefferson in Auckland to kickstart 2017. Photos by Maria Stefina.

Kiwi channel reunites as After Hours kicks off 2017
Show Comments