Catch the threats moving across your network.
TrendAI Vision One XDR for Networks watches the traffic your endpoints and firewalls cannot see. Purpose-built sensors inspect the network inline to block malicious activity in real time, and monitor out of band to reveal lateral movement and unmanaged devices without slowing anything down. All of i
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| Capability | What it does |
|---|---|
| Purpose-built network sensors | Dedicated sensors continuously observe and analyze traffic across the enterprise, including east-west movement. |
| Inline prevention | Inline inspection blocks malicious activity in real time, before it can spread across the network. |
| Out-of-band visibility | Out-of-band monitoring reveals lateral movement and unmanaged-device activity without impacting network performance. |
| Native correlation | All network telemetry feeds Vision One, correlated with endpoint, cloud, and email in one investigation. |
| Behavioral AI detection | Advanced analytics, behavioral modeling, and AI-driven anomaly detection separate real threats from noise. |
| Automated response and forensics | Automated workflows contain threats and reduce dwell time, with retroactive forensics to retrace the attack. |
What is TrendAI Vision One XDR for Networks?+
It is network detection and response on the Vision One platform. Purpose-built sensors inspect traffic inline to block threats and monitor out of band to reveal lateral movement, all correlated with endpoint, cloud, and email.
What is the difference between inline and out-of-band?+
Inline inspection sits in the traffic path and can block malicious activity in real time. Out-of-band monitoring observes a copy of the traffic to reveal lateral movement and unmanaged devices without affecting performance.
How does it fit with XDR?+
Network telemetry is natively correlated within Vision One Security Operations, alongside endpoint, cloud, and email, for one unified investigation.
Does it detect unmanaged devices?+
Yes. Out-of-band monitoring surfaces unmanaged-device activity and lateral movement across the network.
