NetGain Security Analytics
NetGain SIEM monitors the information security of an organization through analyzing event and activity data from servers, network and security devices. By using intelligent correlation, it hunts for security threats and alert the organization of anomaly and abnormal behaviour.
Holistic View Of Security Environment
Ingest and normalize logs from all sources
Centralized repository for info security logs and data
Supports different use cases for audit, compliance, help desk and troubleshooting
Hybrid And Cloud-Native Monitoring
Security threat hunting for cloud Iaas, Paas & SaaS
Threat correlation from hybrid and cloud sources
Single pane of glass management for hybrid and cloud
Integration with third party threat intelligence and systems
Automated Threat Hunting And Alert
Intelligent analysis and correlation of logs from different sources to find security threats
More than 600 threat rules out-of-the-box
Mapping to MITRE ATT&CK and threat intelligence
Create your own custom rules using common language or GUI
Extensive Compliance Reporting
Standard compliance reports including CIS, HIPAA and more
Batch and custom report schedules
Ability to customize new compliance reports with ease
Log Collection And Data Normalization
Ingest, normalize and aggregate log data from different devices
Excellent query performance and powerful search
Out-of-the-box mapping for hundreds of vendors
Anomaly Detection
Anomaly detection is the identification of the behaviour of IT components that deviate from its normal behavior. By using historical data, the AI determines the baseline behaviour of the IT components and identifies anomalies 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. AI is used to identify the outlier in the given data set. IT ops may also set the sensitivity of the AI detection.
