NetWitness UEBA uses advanced behavior analytics and machine learning to quickly reveal unknown threats. Leveraging network, log and endpoint data captured by the NetWitness Platform, it creates a baseline of an organization’s behaviors and IT usage and identifies deviations that indicate suspicious behavior and sophisticated threats.
Want more detail? Read the data sheetNo need to manually tune algorithms. Simple to administer.
Begins processing data within hours so you can quickly baseline behavior and start detecting high-risk anomalies.
Alleviates alert fatigue with an innovative risk scoring model that zeroes in on the highest risk indicators for analysts.
Automatically and regularly refines its machine learning algorithms to provide accurate threat monitoring without rules, signatures or manual analysis.
NetWitness UEBA uses unsupervised machine learning, which means that it starts working the moment you turn it on to rapidly and accurately identify behaviors that may signal an attack. Unsupervised machine learning eliminates the need to create rules, customize metadata, and continually tune underlying data models.
NetWitness UEBA aggregates multiple indicators of suspicious activity, then applies a dynamic statistical risk scoring model. This approach alleviates analysts’ burdensome workloads by producing higher-fidelity alerts triggered only when a risk score exceeds established thresholds.
Since user behavior varies based on an individual’s role, responsibilities, location and other factors, NetWitness UEBA creates peer groups and detects deviations among them. This leads to more accurate alerts.
NetWitness UEBA scales to process millions of events daily and analyze hundreds of millions of organizational entities. Flexible licensing options accommodate the needs of both large enterprises and smaller organizations.
The ability to monitor user, network and endpoint behavior on unsupervised machine learning algorithms makes NetWitness UEBA an obvious choice for catching the sophisticated unknown threats that create so much digital risk for organizations.
We selected NetWitness Platform because we found that it absolutely leaves no stone unturned. It uses behavioral indicators to identify attacks that are normally undetected by signature and rules-based monitoring tools.