SQLstream transforms log and other machine data into real-time security intelligence. Where traditional SIEM and log monitoring tools fail, SQLstream manages with ease the increase in data volume and velocity coupled with more sophisticated known and unknown threat detection scenarios.
complex time-sensitive and multi-location patterns by joining and correlating data streams from any number different types and sources.
geospatial and movement analysis for identifying location-based patterns.
dynamically for continuous analysis over high volume, high velocity, structured and unstructured data.
from ease of development: SQLstream is easy to extend for different scenarios and more complex analytics, offering instant productivity with no hidden future obstacles.
SQLstream detects fraud threats and APTs through continuous monitoring of a vast amount of data from all systems over a prolonged period, looking for both time-based and spatial patterns of abnormal behavior hidden in the ‘business as usual’ data streams.
Detect and correct service-impacting problems in real time by analyzing user, network and service performance data streams.
SQLstream runs concurrent analysis for all operational applications.
Guavus SQLstream’s mission is to make real-time stream analytics easy to use and own with a one-stop-shop solution that performs the best, has the widest footprint, never turns off, and can be developed and customized by data scientists and engineers alike.
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