Where this offering fits
NetWitness describes Detect AI as a cloud-native behavioural analytics offering associated with NetWitness UEBA. Evaluate it through the telemetry required, the anomalies it surfaces and the evidence analysts can review. Behavioural scoring is an input to investigation, not proof that every anomaly is malicious or that a particular detection rate will be achieved. Confirm current licensing, supported data sources and processing arrangements for the proposed configuration.
Architecture and rollout decisions
Choose representative security scenarios and approved test events. Confirm required data sources, versions and processing arrangements. Compare outputs with known cases, including benign activity that could produce a misleading result. Establish a human review path and record where the system is uncertain. Procurement should distinguish analytics, platform components and any operational services.
An evaluation scenario for this offering
After confirming the current Detect AI component mapping, select a documented detection objective and an approved dataset containing a known suspicious example plus similar benign activity. Ask an analyst to inspect the supporting evidence and explain which conclusion is observed and which is inferred. Remove one relevant input in the test dataset to see how incomplete evidence affects the output. Record configuration, source coverage and reviewer decisions without importing unsupported accuracy promises. Acceptance should show that the selected analytics helps with this bounded scenario and that uncertainty remains visible, rather than treating an AI-generated label as an independently verified incident.
Evidence to request for this scope
- Obtain current product and entitlement confirmation.
- Validate evidence behind representative detections.
- Document analyst review and known coverage limits.