Machine Learning Tag

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...

Machine Learning is an important component in detecting advanced malware, but to be effective it must be well-grounded with known threat intelligence. Dr. Giovanni Vigna, Co-founder and CTO of Lastline, presented his thoughts regarding advanced malware protection at this year’s RSA conference in San Francisco. He...

An area where we spend quite some effort here at Lastline is scaling up our malware analysis capabilities, that is our ability to analyze (potentially) malicious artifacts, such as binaries, documents, and web pages. This is a very important area that affects not only our...