Vectra AI
Vectra AI is an AI-driven network detection and response (NDR) vendor whose Vectra AI Platform applies Attack Signal Intelligence across network, cloud, identity, Microsoft 365, Entra ID, AWS, Azure, Google Cloud, and IoT/OT environments. The platform combines 150+ AI models and 39 AI patents to surface attacker behavior at scale, and is offered with optional Managed Extended Detection and Response (MXDR) services. Vectra exposes a gated REST API at api.vectra.io for partner and customer integrations with SIEMs, SOARs, EDR tools, and ticketing systems. Named a Leader in the 2026 Gartner Magic Quadrant for NDR.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Vectra AI the way a machine reads it — 26 machine-readable artifacts across 1 API, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Vectra AI scores 27.5/100 (emerging), with a separate agent-readiness read of 7/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Vectra AI
Each block below is one kind of artifact we hold for Vectra AI. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 1
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Vectra AI Platform API
The Vectra AI Platform REST API (api.vectra.io) provides programmatic access to detections, hosts, accounts, assignments, threat-intelligence indicators, and platform configurat...
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Vectra Ai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Vectra Ai Finops
FINOPSFeatures 7
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Attack Signal Intelligence
Vectra's AI engine using 150+ AI models and 39 AI patents to surface real attacker behavior
Network Detection
NDR coverage across data center, campus, remote, cloud, and IoT/OT environments
Cloud Detection
Detections across AWS, Azure, and Google Cloud control-plane and workload signals
Identity Detection
Detections across Microsoft 365, Entra ID, and other identity providers
MXDR
Optional 24x7x365 Managed Extended Detection and Response service delivered by Vectra analysts
Threat Investigation
Investigation workflows surfacing host, account, and detection context for SOC analysts
AI-Driven Triage
AI-based prioritization that reduces alert noise and surfaces the highest-risk threats
Scroll within the panel for all 7 ·
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Use Cases 5
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
NDR for Hybrid Networks
Detect lateral movement across data center, cloud, and remote networks
Cloud and Identity Threat Detection
Detect credential abuse, privilege escalation, and account compromise across hybrid environments
SOC Alert Reduction
Use Attack Signal Intelligence to compress alert volume into high-fidelity threats
Managed XDR
Offload 24x7 detection and response to the Vectra MXDR team
Ransomware Defense
Detect ransomware behaviors across network, identity, and cloud surfaces before encryption
Integrations 8
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Splunk
SIEM integration for streaming detections, hosts, and accounts into Splunk
Microsoft Sentinel
Native integration with Microsoft Sentinel for cloud-native SIEM workflows
Google Chronicle
Integration for forwarding Vectra detections into Google Chronicle
Cortex XSOAR
Playbook content and connectors for Palo Alto Cortex XSOAR
Splunk SOAR
Bidirectional integration with Splunk SOAR for automated response
CrowdStrike
Cross-correlation and response integration with CrowdStrike Falcon
Microsoft Defender
Integration with Microsoft Defender for endpoint context and response
SentinelOne
Endpoint integration with SentinelOne for cross-tool detection and response
Scroll within the panel for all 8 ·
Resources
Every other property we hold for Vectra AI — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 5
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/vectra-ai · machine-readable index on apis.io