Anomaly Detection and Diagnosis

Lymba’s AI anomaly detection identifies unusual patterns, behaviors, or activities that deviate significantly from normal operations within a network or system. These anomalies are analyzed to determine if they are a benign or hostile occurrence, and the source of anomaly

By detecting and understanding attacks as they occur, even novel, never-before-seen attacks, critical systems can be better protected from hostile adversaries. This includes not only mitigating damage from ongoing attacks but also establishing preventive measures for future attacks that may occur.

Lymba helps resolve the most significant threats for the present market, which include the inability of AI to stop zero-day and advanced threats and the rise in insider cyber threats.

The limitations of off-the-shelf cybersecurity and lack of interoperability with existing information systems pose significant challenges to the market for AI in cybersecurity. These threats can be mitigated by incorporating AI Anomaly Detection into a cybersecurity plan.