NetGain Log Analytics is designed to collect systems logs from a variety of IT devices, including security devices, servers, network devices and more, whether they are on-prem or in the cloud. The logs are mapped using a common schema, that will allow intelligent search and correlation. The user can then generate custom dashboards and compliance reports from the logs.
Are mountains of log data burying critical insights? Don’t let valuable information get lost in the noise. NetGain Log Analytics transforms your log data into actionable intelligence. This empowers you to identify threats, optimize performance, and ensure compliance proactively.
NetGain Log Analytics collects system logs from various IT devices. These include security devices, servers, network devices, and more, whether on-prem or in the cloud. The system maps the logs using a common schema. This schema allows for intelligent search and correlation. Consequently, you can generate custom dashboards and compliance reports from the logs.
NetGain Log Analytics supports a wide variety of log sources. These include syslogs from network devices, security devices, and servers, both on-premises and in the cloud.
The solution comes out-of-the-box with intelligent log mapping and normalization for many vendors and device types.
The module comes with an intelligent search capability and the query is lightning fast even with a large data set. The search function allows for the correlation of data. Results are displayed on screen or can be conveniently downloaded as a comprehensive report.
Anomaly Detection
Anomaly detection is the identification of the behavior of IT components that deviate from its normal behavior. By using historical data, the AI determines the baseline behavior, and identifies deviation from baseline behavior as it happens. IT ops may also set the sensitivity of the AI detection.
Outlier Detection
An outlier is an IT component that deviates drastically from the given norm or average of the data set. Furthermore, AI actively identifies outliers within the given data set. IT ops may also set the sensitivity of the AI detection.
NetGain platform collects and ingests logs, which typically originate from a variety of IT devices, including security devices, servers, and networking devices. After ingestion, log data is normalized using the Elastic Common Schema. As a result, the data from different devices can be easily correlated, facilitating comprehensive analysis.
Contact us today to learn more about how NetGain Log Analytics can transform your IT operations.