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The Vectra AI Platform sees and stops attackers as they progress from network, to identity, to cloud. This gives security teams the visibility and speed they need to act before damage is done. 

Vectra AI empowers SOC teams to modernise operations, improve resilience, and reduce risk. This is done via real-time AI-driven detection, deep behavioural analytics, and seamless integration into your security stack. 

Why Choose Vectra AI?

Unified coverage across network, identity, SaaS, and cloud control planes. 

Machine learning models trained to spot attacker behaviours, not just known signatures.

Integrates with SIEM, SOAR, and EDR tools to automate and accelerate incident response.

Trusted by global enterprises, governments, and critical infrastructure providers. 

Helps teams detect, investigate, and respond faster with less noise and more context.

How the Vectra AI Platform Stops What Others Miss

The Vectra NDR approach is about delivering actionable detections and faster response across the entire hybrid attack surface. By connecting the dots between network traffic, identity activity, and cloud control planes, the platform builds a complete picture of attacker behaviour. 

  1. Network-Centric Threat Detection
  • Monitors all network traffic in real time (north-south and east-west). 
  • Uses AI-driven behavioural models to detect command-and-control, lateral movement, and data exfiltration without signatures. 
  • Replaces or enhances legacy IDS with higher-fidelity alerts. 
  1. Identity & Access Behaviour Analytics
  • Tracks authentication events and account activity in on-prem and cloud identity systems. 
  • Detects stolen credential use, privilege escalation, and abnormal access patterns. 
  • Integrates identity context into every alert for richer investigations. 
  1. Cloud Control Plane Security
  • Monitors AWS, Azure, and Google Cloud control planes for suspicious API calls and configuration changes. 
  • Detects misuse of privileged roles and risky posture changes before they’re exploited. 
  • Improves overall cloud security posture by surfacing misconfigurations and exposures. 

Result: Security teams see the entire attack progression, from first access to lateral movement and cloud takeover. This all-in-one correlated narrative allows them the confidence to respond faster, and smarter. 

SECOps Use Case: SOC Modernisation

SIEM Optimisation: Reduce noise, enrich events with context, and focus analyst time on high-fidelity alerts.
IDS Replacement: Detect advanced threats without the blind spots and false positives of legacy intrusion detection systems.
EDR Extension: Extend endpoint detection with network and identity visibility to stop threats that evade agents.

SECOps Use Case: Cyber Resilience

Cloud Identity Protection: Detect and respond to compromised accounts and lateral movement in SaaS and cloud environments.
Cloud Control Plane Protection: Safeguard the management layer of your cloud infrastructure against privilege escalation and configuration abuse.
Cloud Posture Improvement: Continuously monitor and strengthen cloud security settings to reduce misconfiguration risks.

SECOps Use Case: Risk Management

Critical Infrastructure Risk: Protect operational technology (OT) networks and essential services from targeted attacks.
OT Environment Risk: Monitor and defend industrial control systems (ICS) with tailored AI-driven detections.
Remote Workforce Risk: Identify and stop threats introduced via remote access, unmanaged devices, and hybrid work environments.

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Talk to Red Helix to see how Vectra AI can strengthen your SOC, improve resilience, and reduce risk across your hybrid environment.

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