Darktrace Network

Real-time anomaly detection: The system monitors and analyzes network traffic, learning “normal” behavior patterns within the organization, which allows it to detect unusual activities such as DDoS attacks, botnets, malware, or unauthorized access attempts.

Identification of internal and external threats: Darktrace Network detects both external attacks and those carried out by internal users (e.g., people with unsecured devices, users with unauthorized permissions).

Large environment management: Thanks to AI and an automated analysis process, the system is able to process huge amounts of data from distributed networks, making it effective even in very large, complex IT environments.

Network traffic visualization: Darktrace Network provides network traffic visualization, allowing administrators to more easily understand where in the network suspicious events are occurring. With intuitive graphs and maps, analysts can quickly identify which devices or applications are at risk.

Scalability: The module is designed to work in both small and large organizations, protecting local networks, wide area networks (WANs), and complex cloud architectures (e.g., hybrid cloud).

Early threat detection: Thanks to behavioral analysis, the system detects threats before they escalate, enabling faster response times.

Proactive protection: The Darktrace Network does not wait for signatures of known threats, but works proactively to detect new and previously unknown attacks.

Increased IT team efficiency: Automatic detection of anomalies in the network minimizes the need for manual monitoring, allowing IT teams to focus on more complex tasks.