Historical Data Analysis for Security Investigation and Threat Detection

NetBrain currently collects and stores historical network snapshots, but this data cannot be directly analyzed or visualized to support security investigations such as incident response or threat hunting. Security teams lack a way to detect unauthorized changes, unusual connectivity patterns, or configuration deviations by comparing historical network states over time. This enhancement would introduce automated change detection and diff analysis across historical network snapshots, along with AI-assisted anomaly detection to surface unusual paths, new connections, or configuration deviations that may indicate a security breach. Customers would gain the ability to use existing historical data proactively for threat detection and investigation, extending the value of stored network data beyond compliance reporting into broader security operations use cases.