Darktrace
Darktrace builds the ActiveAI Security Platform, an AI-native cybersecurity platform powered by Self-Learning AI that models normal behavior across network, email, cloud, identity, OT, and endpoint environments to detect novel threats without relying on predefined signatures. The platform spans Network, Email, Cloud, Identity, OT, Endpoint, and Secure AI products plus cross-platform capabilities including Cyber AI Analyst, Proactive Exposure Management, Attack Surface Management, Adaptive Human Defense, and Forensic Acquisition & Investigation. Darktrace exposes a gated REST API at
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 Darktrace the way a machine reads it — 33 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 — Darktrace scores 25.8/100 (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 Darktrace
Each block below is one kind of artifact we hold for Darktrace. 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.
Darktrace OmniAPI
The Darktrace OmniAPI is a gated REST API hosted on each customer's Darktrace cloud instance at
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.
Darktrace 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.
Darktrace Finops
FINOPSFeatures 15
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.
Self-Learning AI
Unsupervised AI that learns each organization's normal behavior to detect novel and unknown threats
ActiveAI Security Platform
Unified AI cybersecurity platform spanning network, email, cloud, identity, OT, and endpoint
Network
AI-driven NDR with proactive protection beyond traditional signature-based tools
Cloud-native AI email security for phishing, BEC, and account takeover
Cloud
AI security across AWS, Azure, and Google Cloud workloads and control planes
Identity
360-degree user protection against identity-based threats
OT
AI security for operational technology and converged IT/OT environments
Endpoint
AI-driven endpoint coverage across managed and unmanaged devices
Secure AI
Security controls for safely deploying internal and third-party AI agents
Cyber AI Analyst
Autonomous investigation that accelerates triage by up to 10x
Proactive Exposure Management
Risk reduction across internal and external attack surfaces
Attack Surface Management
Continuous discovery surfacing 30-50% more external assets than traditional tools
Adaptive Human Defense
Human-focused security awareness and behavior change
Forensic Acquisition and Investigation
Evidence collection and forensic investigation capabilities
Incident Readiness and Recovery
Preparation, response, and recovery services for security incidents
Scroll within the panel for all 15 ·
Security Posture 3
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 6
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.
Novel Threat Detection
Use Self-Learning AI to detect zero-day, insider, and AI-driven attacks without signatures
Autonomous Response
Use Antigena to take targeted, surgical autonomous response actions on detected threats
Email and Phishing Defense
Deploy AI email security against phishing, BEC, supply-chain compromise, and account takeover
OT and Critical Infrastructure
Protect industrial control systems and converged IT/OT environments
Cloud Workload Protection
Detect threats across multi-cloud workloads and cloud control planes
SOC Triage Acceleration
Use Cyber AI Analyst to automate investigation and surface narrative incidents
Integrations 5
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
SIEM
OmniAPI-driven integrations with Splunk, Microsoft Sentinel, Chronicle, QRadar, and others
SOAR
Bidirectional integrations with Cortex XSOAR, Splunk SOAR, Tines, and similar platforms
Cloud Providers
Native integrations with AWS, Azure, and Google Cloud for cloud telemetry and response
Identity Providers
Integrations with Microsoft Entra ID, Okta, and other IdPs for identity-centric detection
ITSM
Ticketing integrations with ServiceNow, Jira, and other ITSM platforms
Resources
Every other property we hold for Darktrace — 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
Access & Security 3
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/darktrace · machine-readable index on apis.io