At Netskope, we use proprietary data to train and test our machine learning (AI/ML) models, which cater to various applications such as DLP, Threat Protection, UEBA, and NG-SWG. Our model …

Machine learning algorithms and predictive models create unique models and signatures for each device, enabling automated classification, device grouping based on fingerprints, and instant …

There are a number of deep learning algorithms that are suitable for classifying image data. Examples of image detection AI/ML models deployed in the Netskope Security Cloud include …

Netskope training will help you become a cloud security expert. We are here to help you secure your digital transformation journey and make the most of your cloud, web, and private …

Netskope’s Behavior Analytics tool looks at patterns of human behavior, and then applies algorithms and statistical analysis to detect meaningful anomalies from those …

Feb 13, 2024 · For both real-time as well as API-based Workday traffic, machine learning algorithms can be used and classified, as part of Netskope Behavior Analytics. Netskope's …

To address this, we’ve developed a patent-pending app activity monitoring system that leverages advanced machine learning algorithms to automatically identify significant anomalies in app …

It provides a unique opportunity to learn how to detect new usage of GenAI apps such as ChatGPT, prevent sensitive data exposure using machine learning models, and further …

This learning path will guide you through the fundamental concepts and practical applications of the Data Security portfolio within the Netskope One Platform. This learning path primarily …

Feb 20, 2025 · This platform is built off of algorithms and machine learning as it begins to study a user's actions which is called a learning period. UEBA will learn the daily interactions the user …