Comprehensive NetFlow data collection across hybrid infrastructures that surfaces hidden threats standard logs miss.

• Collects NetFlow data from endpoints, switches, firewalls, and cloud services.
• Detects abnormal traffic and sneaky techniques like IPv6 exploits and lateral movement.

Unified threat detection across all network assets, regardless of the hardware or software manufacturer.

• Seamlessly ingests data from over 900 devices and systems.
• Eliminates security blind spots caused by relying on a single vendor ecosystem.

Data-driven operational insights that streamline analyst workflows and highlight recurring threats.

• Tracks alert response across analysts and playbooks to surface bottlenecks.
• Uses role-based dashboards and trends to guide improvements and predictive mitigation.

AI/ML-powered anomaly detection that identifies emerging threats against baseline behavior.

• Correlates network and event data in real time to establish normal behavioral baselines.
• Continuously adapts risk scoring to catch lateral movement, MITM attacks, and ransomware.

Automated aggregation of security telemetry to deliver actionable, high-priority alerts.

• Combines telemetry, vulnerability data, and threat intelligence from endpoints, networks, and cloud services.
• Delivers high-confidence alerts with rich context for faster prioritization and mitigation.

Real-time containment mechanisms that halt malicious activity before it can spread.

• Automatically triggers EDR/XDR actions or SOC alerts to neutralize threats instantly.
• Reduces overall risk exposure by isolating compromised assets and blocking lateral movement.