Platform Shadow AI AI-BOM & Inventory Context Graph AI Gateway Guardrails & Policy Data Security Agentic AI-SOC Detection Fabric Agentic Response Red Teaming Compliance Observability FinOps Evaluations Deepfake Detection
Coverage Microsoft 365 Copilot Google Gemini OpenAI / ChatGPT Anthropic / Claude Custom Agents & SDKs AI Coding Tools Code Security Cloud AI Network & Gateways Endpoints & Devices
Solutions Enterprise AI Governance Custom Agent Security Security Operations Financial Services Healthcare Technology Public Sector
Resources DocumentationBlogIntegrationsChangelogAI Maturity AssessmentTrust Center
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Coverage

Twenty connectors,
one Context Graph

Each surface is read the way that surface actually exposes data — admin APIs, audit logs, event streams, gateway telemetry, endpoint inventory. What makes it a platform rather than a bundle is that every connector writes into the same graph.

20Native connectors
10Gateway vendors
27+Agent frameworks
40+Integrations

AI you bought

Licensed assistants sitting on your corporate data. Connected through each vendor's own admin and compliance APIs — read-only, with nothing to install and no change to how people work.

Microsoft 365 Copilot Graph API + Purview Prompts, responses, grounding citations, Copilot Studio agents Google Gemini Admin SDK, BigQuery, Events API Workspace AI activity, Gemini Enterprise agents, pre-submission prompts OpenAI / ChatGPT Compliance + Audit Log APIs Conversations, audit events, stored completions, keys and cost Anthropic / Claude Admin + Compliance APIs Activity feed, chat content, usage, cost, workspace inventory

AI you build

The agents, tools and code your engineers ship. Instrumented at the SDK, scanned in CI, and inventoried down to the individual tool an agent is allowed to call.

Custom Agents & SDKs SDK or native OpenTelemetry Traces, tool and MCP inventory, agent identity, retrieval reach AI Coding Tools MDM, EDR and vendor tenant Assistant usage, repo reach, local MCP servers, AI-authored code Code Security CLI, CI action, VS Code Unsafe prompt construction, secrets, tool definitions, dependencies

Where AI runs

The clouds AI is provisioned in, the networks its traffic crosses, and the devices it runs on. Read-only by default, with inline enforcement available where you want it.

Cloud AI Read-only role per cloud Bedrock, Vertex and Azure OpenAI models, agents, KBs and IAM reach Network & Gateways Log feed from 10 vendors Who called which model, sanctioned vs shadow, payload metadata Endpoints & Devices Jamf, Intune, CrowdStrike, Defender Installed AI apps, browser prompts, paste events, device posture AI Gateway Inline, or behind your SWG Every prompt and response, with enforcement rather than observation

Don't see your surface?

New connectors ship regularly, and the ingestion layer is table-driven — adding a vendor is configuration, not a rebuild. Tell us what you run and we will tell you where it sits on the roadmap.

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