CySight delivers unified cybersecurity observability by continuously baselining every asset and interaction across networks, WAN, and cloud. Its adaptive AI and machine learning models correlate enriched flow telemetry in real time – surfacing threats like lateral movement, ransomware callbacks, insider misuse, Tor activity, and policy violations without relying on packet payloads or DPI.
Where traditional tools offer raw metrics or static alerts, CySight combines forensic memory with predictive AI models learned from your live infrastructure to detect threat paths and qualify risk with precision.
CySight’s SECOBS fuses security operations (SecOps) with continuous observability to deliver full context and correlation. This includes encrypted traffic intelligence, adaptive baselining, real-time triage, zero-trust segmentation, and attack surface tracking. Every decision is backed by data, every alert traceable, and every threat contextualized – replacing assumption with clarity and delivering insight that scales.
