Los Alamos National Laboratory is using artificial intelligence (AI) to enhance malware analysis, making significant strides in classifying Microsoft Windows malware and improving cybersecurity. The research team has set a new world record in identifying and grouping malware into family categories. The approach addresses real-world challenges in cyber-defense systems and can accurately detect both rare and prominent malware families. This new AI method maintains a high performance with limited training data. The research sets a new world record by simultaneously classifying an unprecedented number of malicious software families, surpassing all prior work by identifying 29 times as many malware families. The method operates under extremely difficult real-world conditions, including limited data and the presence of novel malware families. This new AI algorithm could be generalized to other non-Windows operating systems, significantly advancing cybersecurity protection globally.
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