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Vectra AI

AI-driven threat detection and response for hybrid networks
AI Infrastructure
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Vectra AI

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Vectra AI
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Description

Vectra AI is an AI-driven cybersecurity platform built to detect, investigate, and stop cyberattacks across modern hybrid and multi-cloud environments. The platform delivers continuous observability across network, identity, cloud, SaaS, data center, IoT/OT, and AI infrastructure, giving security teams a unified view of their entire attack surface in real time.

The core Attack Signal Intelligence technology uses advanced AI and machine learning to analyze real-time attacker behavior rather than flagging statistical anomalies. It automatically triages benign activity, correlates behaviors across domains, and prioritizes entities based on attack context and urgency, enabling SOC teams to act on real threats with speed and confidence.

Vectra AI covers four key detection surfaces: network, identity, cloud, and SaaS. AI-powered detections surface lateral movement, privilege escalation, command-and-control activity, and account compromise across on-premises and multi-cloud environments including AWS, Azure, and Microsoft 365. The platform supports on-premises, air-gapped, SaaS, and hybrid deployment models to meet diverse operational and regulatory requirements.

With 35 patents in AI-driven threat detection and coverage of over 90% of relevant MITRE ATT&CK tactics, techniques, and procedures, security teams gain reliable, high-fidelity signal they can act on. Organizations worldwide rely on the platform and its managed detection and response services to reduce alert noise, accelerate investigations, and stop attacks before they become breaches.

Use cases
  • Detect lateral movement across hybrid networks, cloud, and identity environments in real time.
  • Correlate attacker behaviors across network, identity, and cloud into unified attack profiles.
  • Automatically triage and prioritize security alerts to reduce SOC analyst workload and noise.
  • Identify and stop privilege escalation and credential misuse in Active Directory and Entra ID.
  • Detect command-and-control activity and hidden tunnels across encrypted network traffic.
  • Protect multi-cloud environments including AWS, Azure, and Microsoft 365 from advanced threats.
  • Accelerate threat investigation and incident response through AI-driven entity-centric prioritization.
  • Monitor IoT and OT devices for vulnerabilities and unauthorized command-and-control activity.
  • Support compliance with NIST, NIS2, Zero Trust, and DORA frameworks using continuous monitoring.
  • Enable managed detection and response teams to automate escalation and investigative reporting.
Features
Attack Signal Intelligence, AI threat detection, Network detection and response, Identity threat detection, Cloud detection and response, AI triage and prioritization, Behavioral attack correlation, MITRE ATT&CK mapping, Encrypted traffic inspection, MDR services

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