Cynet 360

Executes isolation, process kill, or persistence removal actions automatically upon detection without waiting for analyst approval. Speed of automated response directly affects breakout time mitigation.

Detects active identity attacks (credential stuffing, MFA bypass, session token theft, lateral movement using stolen credentials) correlated across authentication and access logs.

Ingests events from non-endpoint sources (firewall, identity, email, cloud) into the EDR platform for cross-signal correlation, enabling XDR-style detection without a separate XDR product.

Detects threats by modeling process behavior, memory access patterns, and inter-process relationships rather than matching file signatures. Catches novel malware and LOLBin-based attacks that have no signature.

Provides a query interface over telemetry (process tree, network connections, registry events, file events), for analyst-led investigation independent of alert workflows. Differentiation is query language expressiveness and historical data retention.

Delivers detection, behavioral analysis, and response across Windows, macOS, and Linux agents, with non-Windows coverage depth a common evaluation point.

Monitors telemetry across endpoint, network, identity, email, cloud, SaaS, and OT sources rather than a single domain, with supported breadth varying by provider.

Provides 24/7 analyst-led monitoring, detection, and triage on customer telemetry, spanning threat hunting and intelligence with tuning depth varying by provider.

Executes preapproved containment such as host isolation, account lockout, and network blocking beyond alerting, with provider autonomy varying by service tier.

Analysts proactively search for attacker TTPs, persistence mechanisms, and lateral movement in customer telemetry on a defined cadence, not only responding to automated alerts.

Delivers a provider-hosted and provider-operated shared technology stack that coordinates real-time detection, investigation and response.

Executes response actions (endpoint isolation, account disable, IP block, ticket creation) through pre-built or custom playbooks, either automatically or via one-click analyst approval.

Assembles the full attack narrative around an alert (affected assets, related events, process tree, network connections, timeline), without analyst-initiated investigation steps.

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.

Normalizes and ingests events from security tools outside the vendor's ecosystem, extending detection coverage to the customer's existing tool stack without requiring replacement.