Network Detection and Response (NDR) monitors network traffic — east-west and north-south — using ML-based behavioral analysis to detect lateral movement, command-and-control communications, data exfiltration, and other attack behaviors that endpoint controls miss entirely.
Endpoints have EDR. Networks need NDR. Attackers who compromise a single endpoint quickly pivot to others — and that lateral movement happens on the network, where endpoint controls have no visibility. NDR covers the detection gap between perimeter controls and endpoint visibility.
A structured advisory process — from security posture assessment and market evaluation to vendor selection, contract negotiation, and post-deployment validation — tailored to your risk profile and compliance obligations.
We assess your network topology — on-premises, cloud VPCs, east-west traffic flows, and the sensor placement options that provide visibility into the network segments where threats move.
We evaluate NDR platforms — ExtraHop Reveal(x), Darktrace, Vectra AI, Cisco Stealthwatch/Secure Analytics, and cloud-native NDR tools — against your network architecture, integration requirements, and cloud coverage needs.
NDR requires sensor placement at strategic network chokepoints. We design the sensor architecture — SPAN port configuration, TAP placement, and cloud traffic mirroring — that provides comprehensive coverage without network performance impact.
NDR ML models require tuning for your specific environment. We design the tuning approach and the SOAR integration that converts NDR detections into automated response actions — isolating compromised hosts, blocking C2 communications.
These are the dimensions that consistently separate effective security programs from expensive ones — and the questions RLM will help you answer before any vendor commitment.
Most breaches involve lateral movement within the network. Evaluate east-west traffic visibility — internal network monitoring between segments, not just perimeter monitoring of north-south traffic.
Modern attack traffic is predominantly encrypted. Evaluate the platform's encrypted traffic analysis capabilities — JA3/JA3S fingerprinting, certificate anomaly detection, and behavioral analysis of encrypted flows.
On-premises NDR sensors don't cover cloud VPC traffic. Evaluate cloud-native NDR capabilities — VPC Traffic Mirroring integration, cloud flow log analysis — for your cloud workload environments.
NDR generates large volumes of detections. Evaluate the alert quality — specifically the false positive rate and the severity accuracy of detections — for your specific network environment before committing.
NDR and EDR tell complementary parts of the same story. Evaluate the integration between NDR detections and EDR telemetry — the ability to correlate network-level detections with endpoint activity for faster investigation.
NDR sensor traffic analysis can impact network performance. Evaluate the performance overhead of sensor deployment and the sampling strategy used for high-bandwidth links.
"RLM helped us build a security program that satisfied our board and our auditors — without locking us into a single vendor's roadmap. Their independence is the whole point."
"We had three overlapping security tools doing the same job. RLM helped us rationalize the stack, cut spend by 30%, and actually improve our detection coverage in the process."
Start with a no-cost conversation with an RLM security advisor — vendor neutral, no agenda, just clarity on where your gaps are and the right path to close them.
Speak to a Security Advisor