Machine learning and artificial intelligence (AI) are becoming a core technology for some threat detection and response tools. The ability to learn on the fly and automatically adapt to changing cyberthreats give security teams an advantage.
However, some threat actors are also using machine learning and AI a to scale up their cyberattacks, evade security controls, and find new vulnerabilities all at an unprecedented pace and to devastating results. Here are the nine most common ways attackers leverage these technologies.
1. Spam, spam, spam, spam
Defenders have been using machine learning to detect spam for decades, says Fernando Montenegro, analyst at Omdia. “Spam prevention is the best initial use case for machine learning,” he says.