Advanced Machine Learning
Machine learning is a branch of artificial intelligence that enables systems to learn patterns from data and improve their decisions without being explicitly programmed for every scenario.
ESET has been working with Machine learning algorithms to detect and block threats since 1990. Neural networks were added to ESET products' detection engine in 1998.
Machine learning includes DNA Detections, which use models based on Machine learning to work effectively with or without a cloud connection. Machine learning algorithms are also vital in the initial sorting and classification of incoming samples, as well as placing them on the imaginary "cybersecurity map".
ESET has developed its own in-house Machine learning engine. It uses the combined power of neural networks (such as deep learning and long short-term memory) and a handpicked group of six classification algorithms. This allows it to generate a consolidated output and help correctly label the incoming sample as clean, potentially unwanted or malicious.
The ESET Machine-learning engine is fine-tuned to cooperate with other protective technologies, such as DNA, sandbox and memory analysis, and the extraction of behavioral features, to offer the best detection rates and lowest possible number of false positives.
