AI Assisted Generation of Rules for Malware Detection with Transformer Attention Mechanism

Abstract: systems and methods implement artificial intelligence to automatically generate malware detection rules. in a first phase, an ai model is trained on large amounts of data, so the ai model can learn to distinguish between benign applications and different malware families. in a second phase, the ai model is queried with new malware samples, and systems and methods propose new malware detection rules for those samples

Inventor(s): Philipp GYSEL, Candid WUEST, Dinil Mon DIVAKARAN, Kenneth NWAFOR, Serg BELL, Stanislav PROTASOV

CPC Classification: G06F21/552 ({involving long-term monitoring or reporting})

Search for rejections for patent application number 20250217477