The machine learning models employed in Kaspersky’s solutions use techniques such as Random Forest and term frequency–inverse document frequency (TF-IDF) to process vast amounts of data, enabling faster and more accurate detection of subtle threats. This combination of ML methods allows for the identification of indicators of compromise (IoCs) that
Tag: Kaspersky achieves
Kaspersky achieves 25% increase in APT detection
The machine learning models employed in Kaspersky’s solutions use techniques such as Random Forest and term frequency–inverse document frequency (TF-IDF) to process vast amounts of data, enabling faster and more accurate detection of subtle threats. This combination of ML methods allows for the identification of indicators of compromise (IoCs) that