We’ve been developing machine learning-based cybersecurity systems for many years and began developing automation for analysis in our labs in 2005. These early automation projects have since evolved into full-blown machine-learning frameworks. Since then, we’ve been waiting for our enemies to make the same move, and after 18 years, the wait is over – malware with artificial intelligence has arrived.
Defenders have been able to automate their work for some time, enabling excellent detection, analysis and reaction times – hands-free at machine speed. This contrasts with attackers who have had to build and deploy their attacks manually, meaning that when they get blocked, they have to change things manually – at much slower human speed.
