White Paper : Harnessing the Power of AI to Secure User Endpoints

SparkCognition™ EPP delivers best-in-class cybersecurity protection through a unique combination of artificial intelligence (AI) and machine learning (ML) capabilities. This paper describes the key functions provided by this patented technology and important steps users must consider when implementing a successful anti-malware strategy. Malware detection algorithms are enabled by three types of data initialization and learning techniques: unsupervised, reinforcement- based, and supervised, each of which has distinct pros and cons associated with its usage, including cost, required expertise, and efficacy. Once initial learning has taken place, users must keep in mind three important elements: large representative datasets are required, false-positive rates must be kept low, and algorithms must allow for quick adaptability to counteract continually evolving threats. The technical details of how SparkCognition EPP tackles malware detection are described in detail, including steps such as feature extraction, entropy analysis, and file header and function evaluation. Finally, model validation, maintenance, and enhancement are described, all with the goal of developing a highly effective anti-malware system that requires a minimum of user intervention.

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