A research team at Los Alamos National Laboratory is using artificial intelligence to address several critical shortcomings in large-scale malware analysis, making significant advancements in the classification of Microsoft Windows malware and paving the way for enhanced cybersecurity measures. Using their approach, the team set a new world record in classifying malware families.
“Artificial intelligence methods developed for cyber-defense systems, including systems for large-scale malware analysis, need to consider real-world challenges,” said Maksim Eren, a scientist in Advanced Research in Cyber Systems at Los Alamos. “Our method addresses several of them.”