Cato SASE Platform

Hides internal applications from the public internet and unauthorized users, accepting inbound connections only after the trust broker authorizes a named user and device.

Routes web application access through a remote or local isolated browser to prevent malicious content on application pages from reaching the endpoint.

Grants access to individual named applications rather than network segments, users and devices can only reach explicitly authorized applications regardless of network position.

Re-evaluates user and device trust signals throughout an active session, revoking or stepping down access when anomalous behavior is detected, not just at authentication time.

Checks endpoint health (OS patch level, EDR presence, disk encryption, certificate validity) at each access request, enforcing minimum device security standards before granting application access.

Assembles the full attack narrative around an alert (affected assets, related events, process tree, network connections, timeline) without analyst-initiated investigation steps, increasingly via AI agents embedded in triage and investigation workflows; differentiation includes the testing and validation harness around AI outputs.

Correlates security events across endpoint, network, identity, cloud, and email telemetry in a unified detection engine, detecting multi-stage attacks that span domains and would appear benign in any single-domain view.

Tracks security operations KPIs such as mean time to detect, mean time to respond, alert conversion, and risk reduction through built-in dashboards and reporting.

Provides a query language and historical telemetry store for analyst-led hunting: differentiation is query expressiveness, cross-domain join capability, and data retention period.

Builds detections from raw identity telemetry (authentication events, token use, directory changes) as a native XDR detection surface, catching identity-driven attack stages that endpoint-only visibility misses.