A structured operating model to connect systems, enforce identity and policy, and promote AI safely into production — inside your Azure tenant.
Custom code, service accounts, workflow builders, and direct point-to-point pipelines.
Governed APIs, native identity and RBAC/ABAC, secure in-tenant execution, and normalized metadata with lineage.
Miso governs every request in AI Fabrix before execution. Identity, policy, and audit are enforced centrally by architecture. Controls are consistent across tools and teams.
CIP is the AI-native integration layer of AI Fabrix. It replaces custom code with composable pipelines inside your Azure tenant. Secure, auditable, and production-ready by default.
AI receives data with identity and context preserved. The Dataplane enforces permission-aware access, metadata, and audit. Every request follows enterprise policy.
AI executes only through governed pipelines, not direct system access. CIP and MCP enforce identity, permissions, metadata, and audit at runtime. Every action is traceable by design.
Every action is traceable, policy-governed, and audit-ready by design.
Model data by business meaning, not system rules. Access becomes a property of structure—if it doesn’t belong to you, it doesn’t appear.
Governance is enforced by architecture across ingestion, retrieval, APIs, agents, and UI—without duplicated logic or AI exceptions.
Runs inside your Azure tenant—identity, network, keys, and data stay under your control. No shared SaaS layer, no external control plane.
Business defines intent and dimensions. The platform enforces visibility, policy, and audit. Developers implement integrations and AI behavior—without re-building governance.
The same rules apply to humans, APIs, and agents. AI only sees governed, pre-filtered context—so risk doesn’t scale with usage.
Open standards and portable architecture, with controlled execution through a governed platform layer. Avoid lock-in without losing security and oversight.
Deploy AI with governance, explainability, trusted business context, and operational control built in.
We’ve gathered the most frequent questions about AI Fabrix — from setup to security. Explore the Q&A or start a free trial now.
AI Fabrix is an Azure-native, in-tenant enterprise AI platform that enables secure, governed AI adoption at scale.
It turns fragmented enterprise systems into permission-aware, AI-ready data using open standards—so AI agents, workflows, and applications can run safely in production, not just pilots.
AI Fabrix runs entirely inside your Azure tenant and uses standard Azure services for compute, storage, networking, and identity.
There is no shared SaaS component and no external service accounts. Infrastructure sizing depends on workload and scale, and follows a predictable, infrastructure-based model.
Yes. Security and governance are foundational to AI Fabrix. All data and AI operations run inside your Azure tenant, using Entra ID for identity, ABAC/RBAC for access control, and full audit logging for every data access and AI action. This enables compliance with enterprise and regulated-industry requirements.
Most customers start with a guided deployment inside their Azure tenant. This includes setting up governance with Miso, connecting core systems through CIP, and deploying an initial AI agent or use case. From there, teams expand incrementally using the same governed foundation.
Yes. AI Fabrix integrates with enterprise systems using OpenAPI and Composable Integration Pipelines (CIP). This approach avoids custom SDKs and service accounts, automatically enforcing identity-based access (ABAC/RBAC) and providing full metadata, lineage, and auditability across systems such as CRM, ERP, HR, Finance, SharePoint, and custom APIs.
AI Fabrix offers documentation, reference architectures, and enterprise support options.
Customers also receive guidance on governance setup, integration patterns, and production rollout to ensure AI moves safely from pilot to scale.
