Varonis Systems has been granted a patent for a method to detect and handle anomalies in a network. The method involves collecting meta-data, extracting features, clustering organizations, training models, analyzing event data, providing decision scores, and handling anomalies based on the scores. GlobalData’s report on Varonis Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
According to GlobalData’s company profile on Varonis Systems, Quantum key distribution was a key innovation area identified from patents. Varonis Systems's grant share as of February 2024 was 88%. Grant share is based on the ratio of number of grants to total number of patents.
Anomaly detection and handling method for network environments
A recently granted patent (Publication Number: US11914461B1) discloses a method and system for detecting and handling anomalies in a network. The method involves collecting meta-data related to the environment of each organization using the network, extracting features from the meta-data, clustering organizations with common features into segments, collecting training data, training a model for each segment to detect anomalies, analyzing event data with the respective model, providing a decision score, and handling the anomaly based on the score. The trained models can be delivered to local computers or stored at a multi-tenant server for analysis across organizations within the segment. The decision score helps prioritize anomalies for immediate attention or handling in due course, considering factors like simultaneous occurrences across multiple computers in the same segment and time intervals between events.
Furthermore, the system for anomaly detection and handling includes a central server computer with a processor and memory, executing a program to collect meta-data, extract features, cluster organizations, collect training data, train models, analyze event data, provide decision scores, and handle anomalies. The system allows for the delivery of trained models to local computers or storage at a multi-tenant server, enabling efficient analysis of event data across organizations within the segment. The decision score aids in determining the priority of anomalies, with considerations for simultaneous occurrences and time intervals between events. The clustering and training processes are repeated periodically to adapt to new data and ensure effective anomaly detection and handling.
To know more about GlobalData’s detailed insights on Varonis Systems, buy the report here.
Premium Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
