Topic: training data composition

AI malware detectors fail on unfamiliar data

A new study reveals that static AI malware detectors perform well on familiar data but struggle significantly when tested on diverse, real-world external datasets, including obfuscated and red-team threats. The research highlights a key trade-off: training models specifically on obfuscated malwar...