Network & Infrastructure SecuritySecurity Operations
Vectra AI Platform
Agentless NDR using attacker-behavior AI to detect and respond across network, identity, and cloud.
Vectra AI Platform Overview
What it does
The Vectra AI Platform is a Network Detection and Response (NDR) system that identifies active attacker behavior across network, identity, public cloud, and Microsoft 365 traffic rather than flagging statistical anomalies. Its Attack Signal Intelligence engine uses domain-specific AI models built by Vectra's security researchers to distinguish malicious activity from benign, then AI Stitching correlates related behaviors across those surfaces into a single, entity-centric attack profile that reduces alert noise for the security operations center.
How it works
Deployed agentless and out of band, the platform analyzes network metadata rather than capturing full packets, so it inspects both north-south and east-west traffic and detects threats inside encrypted sessions without decryption. Behavioral AI models score hosts and accounts, AI Triage filters benign activity, and the optional Vectra Match module adds Suricata signature and IOC detection. Coverage spans data center, campus, AWS, Azure, Google Cloud, and Microsoft 365. Vectra 360 Response then contains confirmed threats through host lockdown, account lockdown, and firewall traffic blocking via integrated EDR and firewall tools.
Credentials and traction
Vectra AI is a Leader in the 2026 Gartner Magic Quadrant for Network Detection and Response, its second consecutive year in the category and positioned highest in Ability to Execute, and was named a Leader in the 2024 IDC MarketScape for Worldwide Network Detection and Response. The platform holds a SOC 2 Type II attestation. Vectra AI serves more than 1,700 customers across 113 countries, monitors over 7 million hosts, and holds 39 patents in behavioral AI detection.
Key Capabilities
mapped to solution categoriesIncludes traditional detection such as IDPS signatures, rule-based heuristics and threshold alerts alongside behavioral analytics.
Integrates with firewalls, NAC platforms, and switches to automatically block or quarantine hosts and traffic flows in response to confirmed detections, without requiring analyst-initiated action.
Uses an AI-based search assistant to accelerate threat hunting and surface actionable insights.
Groups related network alerts into structured incidents that reconstruct an attack across hosts and time, reducing alert volume and giving analysts a single investigation timeline instead of disconnected events.
Detects threats in TLS-encrypted traffic using JA3/JA3S fingerprinting, certificate anomaly detection, and traffic behavioral analysis, without requiring decryption.
Monitors lateral movement traffic between internal network segments and hosts, distinct from perimeter monitoring. Requires network tap or span port placement on internal switch infrastructure.
Builds per-device and per-application baselines of normal network communication patterns and detects deviations, enabling detection of novel C2 channels, data staging, and lateral movement.
Extends network detection to cloud VPC traffic using VPC flow log analysis, cloud-native sensors, or mirroring, covering east-west traffic between cloud workloads.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on August 10, 2026
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