Seeing traffic is not the same as understanding risk. CySight turns flow visibility into evidence, exposing encrypted blind spots, lateral movement, behavioral drift, and the context needed to investigate what changed.
Map suspicious east-west paths, isolate abnormal service relationships, and retain the evidence needed to investigate what changed.
CySight is designed for teams that have outgrown shallow NetFlow analytics. It combines richer telemetry retention, behavioral baselining, and AI-ready visibility so buyers can stop shortlisting tools that cannot grow into serious security observability.
Move beyond bandwidth charts and thin dashboards. Turn traffic metadata into investigation-ready visibility.
Model servers, services, applications, and communication patterns to expose drift and abnormal behavior.
Where payload inspection loses clarity, metadata and behavior become the evidence layer.
Use full-fidelity flow visibility as the foundation for deeper security observability and AI-driven detection.
CySight gives security, network, and compliance teams a stronger operational surface: visibility where encrypted traffic hides detail, baselines that expose behavioral drift, and retained evidence that supports investigation and response.
CySight surfaces the traffic patterns and evidence signals that matter when encrypted traffic, scale, and hybrid complexity make shallow tools less useful.
CySight gives buyers a broader category story from the first click: deeper NetFlow visibility, stronger anomaly detection, retained evidence, and a clear path into AI-driven security observability.
Most legacy NetFlow tools are sold as monitoring dashboards. CySight is built as a higher-value visibility and evidence platform for security and operations teams that need more than utilization graphs.
| Capability | Typical NetFlow Analyzer | CySight |
|---|---|---|
| Primary value | Traffic monitoring Bandwidth, top talkers, interface utilization, and troubleshooting. | Visibility and evidence Encrypted analytics, baselining, lateral movement visibility, and retained forensic context. |
| Encrypted traffic | Limited insight Value drops when payload inspection loses effectiveness. | Built for blind spots Uses metadata, directionality, and learned behavior to recover visibility. |
| Asset behavior | Often shallow Usually interface-centric and volume-centric. | Asset-centric Baselines servers, services, applications, and communication patterns over time. |
| Investigation depth | Dashboard-first Limited evidence retention for response and review. | Evidence-first Preserves the context needed for investigations, audit, and incident analysis. |
| AI and automation | Usually limited Static thresholds and thin summaries are common. | AI-driven progression Uses predictive baselining and supports a larger AI-NDR direction. |
| Retention at scale | Usually limited Retention depth drops quickly as environments grow, forcing shorter history, reduced granularity, or selective visibility. | Built for high-fidelity retention CySight is designed to retain far more meaningful flow evidence over time, supporting investigations, baselining, and forensic review at scale. |
| Consumption and compute efficiency | Higher infrastructure burden Scaling visibility often means heavier storage, memory, and compute demands, which limits practical deployment depth. | More efficient at scale CySight is built to extract and retain higher-value telemetry with a lower compute burden, making deeper visibility more practical across large environments. |
| Commercial position | Analyzer A monitoring category sale. | Platform A stronger category story for security observability, operations, compliance, and AI-NDR. |
CySight helps buyers move faster by eliminating shallow flow tools early. What remains is a deeper NetFlow platform with AI baselining, stronger evidence retention, and a real path to full security observability and AI-NDR.