Need more than thresholds and 'eyeballs on timecharts'? Our unsupervised, machine learning analytics scale from devops start ups to webscale environments. They process your existing log and metric data and provide the cross-correlated insights you need to find and fix problems fast.
Using Prelert I dramatically reduced the alerts and events I need to investigate, and I only see relevant information. I can now handle all the information about network, security, performance, build relationships between them, find anomalies, and compare baselines, all in just one application, in real time. I just put Prelert on pipe and what I really need to know comes out. With Prelert I spend less time to find the root-cause of any problem, and gain a better understanding of my own data.
Finding the ‘bad guy’ wasn’t going to be a winning battle if we could only use ‘known bad’ searches and rules. With Prelert’s Anomaly Detective, we can proactively monitor our environment for ‘unknown’ advanced threats and quickly identify behaviors that are categorically different than ‘normal.
To be effective against modern cyberthreats, IT security has to be data driven. It is beyond human ability to manually analyze the volume of data. Prelert’s behavior-based machine learning analytics engine is a timely entry to the market, moving beyond traditional log management and SIEM. Prelert provides advanced Security Analytics capabilities to automatically identify anomalies that IT teams need to know about.
GKC believes Prelert provides tremendous value to our customers. Our customers rely on GKC to solve business problems with insight found in machine data. Prelert delivers that insight.