Cynamics

Cynamics builds a SaaS network detection and response (NDR) platform built around a specific technical bet: rather than requiring full packet capture or inline sensors across every network segment (the traditional, infrastructure-heavy NDR approach), Cynamics samples a small fraction of network traffic — the company states around 1% — and uses statistical/AI inference to model the other 99% for anomaly and threat detection. This agentless, sampling-based design is pitched as removing much of the deployment friction and cost associated with full-visibility NDR in large, distributed, or cloud-native environments.

The company launched a cloud-native version of its NDR platform in 2022 to extend the same sampling approach across hybrid and multi-cloud environments, and pairs its detection engine with a "virtual cyber analyst" feature intended to provide human-like triage and continuous monitoring rather than raw alert output. Cynamics raised a $7 million Series A in September 2021 and has stated academic backing for its underlying statistical-inference approach, though independent replication of its specific detection-accuracy claims was not found in public sources.

For network security and SOC teams evaluating NDR for large or fast-growing cloud environments where full-visibility instrumentation is cost-prohibitive, Cynamics’ sampling-based approach is a genuinely different architecture worth evaluating against traditional full-capture NDR vendors — but as with any statistical-inference security claim, the specific detection accuracy and false-negative rate at 1% sampling should be independently validated in a proof-of-concept before being relied on in place of full-visibility monitoring for critical segments.