Malicious activity detection in memory of a data processing unit using machine learning detection models

Abstract

Apparatuses, systems, and techniques for detecting that one or more computer programs executed by a host device are subject to malicious activity using a machine learning (ML) detection system. An integrated circuit is coupled to physical memory of a host device via a host interface. The integrated circuit hosts a hardware-accelerated security service to protect one or more computer programs executed by the host device. The security service extracts a set of features from data stored in the physical memory, the data being associated with the one or more computer programs. The security service determines, using the ML detection system, whether the one or more computer programs are subject to malicious activity based on the set of features. The security service outputs an indication of the malicious activity responsive to a determination that the one or more computer programs are subject to the malicious activity.