Advanced attacks don’t use signatures. They hide in normal traffic, live off the land, and spread quietly across your network.
Vectra AI uses AI-driven behavioral detections to expose lateral movement, C2 communications, and privilege escalation that evade other tools.
Monitors data centers, cloud workloads, and unmanaged medical IoT devices without adding agents or complexity.
Uses behavioral models to expose privilege escalation, lateral movement, and command-and-control activity that traditional tools miss.
Prioritizes and stitches related signals into clear narratives, giving healthcare SOC teams a fast, logical starting point for investigations.

See how Bolton NHS correlates AI-driven detections with data from multiple tools to expose the truth about cyberattacks.

See how an Australian Private Health Fund reduced critical alerts by 80% while increasing visibility across cloud workloads, Teams, SharePoint, and Exchange.
AI-driven models correlate and compress multiple detections into actionable alerts, reducing noise and helping analysts focus only on true attacker behaviors.
Real-time detection and deeper context let SOC teams understand anomalies faster, cutting wasted time and improving MTTR.
Continuous monitoring across cloud, SaaS, and on-premises environments eliminates false positives and reduces critical alerts by 80% or more.
Pre-correlate and compress high-volume alerts before they hit your SIEM, cutting data ingestion costs and log noise.
Deliver high-fidelity detections enriched with context, so analysts can investigate faster without sifting through raw logs.
Streamline SOC workflows to prioritize attacker behaviors, not background noise.


Discover how Pennine NHS moved away from log-based SIEM reliance with Vectra AI’s behavioral detection for one-click investigations.

According to IDC, SOC teams using the Vectra AI Platform are 40% more efficient and spend 50% less time investigating alerts. Download the report to learn why.
AI-driven models correlate and compress multiple detections into actionable alerts, reducing noise and helping analysts focus only on true attacker behaviors.
Allows analysts to prioritize high-value investigations by surfacing true attacker behaviors.
Provides automated threat detections capable of reducing the need for FTEs by 44%.




Vectra AI applies AI-driven behavioral detections across all environments, from on-premises data centers to cloud apps to connected medical devices, giving SOC teams unified visibility and early warning of attacks that threaten patient data protection and EHR systems.
Legacy IDS/IPS systems generate noise and miss stealthy credentialed attackers. Vectra AI replaces this with high-fidelity detections tailored to hybrid healthcare network security, cutting false positives and surfacing lateral movement, command-and-control, and privilege abuse that legacy IDS can’t catch.
The Vectra AI Platform, recognized as a leading NDR solution, delivers unified coverage across network, identity, and cloud — making it ideally suited to detect and stop the advanced threats facing modern healthcare environments.
Most medical and IoT devices can’t run endpoint agents. Vectra AI Platform provides agentless monitoring that protects patient devices and clinical OT systems, detecting suspicious behaviors like unauthorized access or abnormal communication before they impact care delivery.
Yes. Vectra AI detects ransomware behaviors such as privilege escalation, lateral movement, and abnormal encryption patterns in real time. By exposing these early in the kill chain, SOC teams can stop ransomware before it disrupts operations or compromises healthcare data security.
Explore how our network detection and response platform supports early ransomware detection across hybrid healthcare environments.
Meeting regulatory requirements for healthcare security (HIPAA, GDPR, and regional mandates) requires clear visibility and strong incident response. Vectra AI helps organizations prove patient data protection, reduce breach risks, and simplify audits, supporting cybersecurity compliance with NDR built for actionable detections and forensic context.
Attackers frequently target EHR and PHI databases. Vectra AI monitors identity systems, cloud workloads, and internal traffic to detect account takeovers and unauthorized queries that indicate an attacker moving toward sensitive healthcare data.
Yes. Unlike signature-based IDS/IPS hospital network protection, Vectra AI analyzes behavior to spot attackers hiding in normal tools and protocols. This is critical for hybrid medical network security, where attackers often blend into routine clinical and IT activity.
Vectra AI augments infrastructure penetration testing by detecting the same stealth tactics red teams use. Healthcare SOCs use these insights to validate defenses, prioritize risk, and harden hybrid healthcare network security against real-world adversaries.
Get an up-close look at how leading healthcare organizations protect patient care with Vectra AI.