Darktrace

The implementation of the Darktrace system is expected to enhance threat detection, reduce response times, and improve overall cybersecurity resilience. Darktrace uses real-time and historical data to build a dynamic understanding of "normal" behavior. It continuously learns and adapts to detect anomalies that may indicate emerging threats. By using AI to identify anomalies in real time, it helps prevent data breaches, supports autonomous threat containment, and reduces reliance on manual monitoring.

Darktrace's system is trained and operates using a combination of real-time and historical data from the environments it protects. Including: Network traffic data, Endpoint activity, Cloud and SaaS telemetry, Email metadata, Identify and access logs.