Countering the Rise of Adversarial Machine Learning.

The security community has found an important application for machine learning (ML) in its ongoing fight against cybercriminals. Per Recorded Future, many of us are turning to ML-powered security solutions like Lastline that analyze network traffic for anomalous and suspicious activity. In turn, these ML solutions defend us from digital threats better than other solutions can by drawing on their evolving knowledge of what a network attack looks like. Digital attackers are aware of the fact that security solutions are using ML for security purposes. They also know that there are certain limitations when it comes to applying artificial intelligence to computer security. This explains why digital criminals are leveraging ML to their advantage in something known as "adversarial machine learning."