Machine Learning Tag

Machine learning has found application in a breadth of industries, from cancer detection to voice recognition to identity theft prevention. Perhaps unsurprisingly, cybersecurity is another area where machine learning can increase the efficiency and accuracy of operations. This is a topic generating a lot of discussion...

RSAC 2018, one of the largest cybersecurity conference events in the world, is almost here. More than any other, this is the place where leading security companies, researchers, CISOs, and their staffs from across the globe come together to talk, learn, present, and speculate about...

In recent years, machine learning has made tremendous strides in the fight against cybercrime. But it’s not foolproof, and criminals have developed techniques to undermine its effectiveness. In today’s adversarial environment, organizations must deploy technologies that are resilient to attacks against machine learning. Machine Learning—Amazing, but...

There’s a lot of buzz these days about cyberattack prediction. The U.S. federal government is keen to develop technologies that will not just detect but accurately predict cyberthreats. But they aren’t alone. The commercial sector is also ramping up their interest in cyberattack prediction. Although it...

Prediction, during a data breach or cyber attack would be extremely beneficial if security defenders knew their attacker’s next move. Armed with such information, administrators could take proactive measures to protect sensitive data, patch or update vulnerable software, bolster security settings, and block the attacker’s access and...