AI Governance Hub
Featuring Gartner research on Data Fabric, Digital Integration, AI Application Architecture, Cloud Platform Services and the evolution toward trusted enterprise AI.
Every enterprise is asking some version of the same question: How do we safely connect AI to the systems that run the business?
It’s an AI question…but it’s also a data question, an integration question, a governance question and, increasingly, a trust question.
Over the past several years, Gartner research has steadily reflected this evolution. What began as conversations around metadata, data fabrics, integration and distributed data architectures has expanded into AI-powered application architectures, cloud platform services, autonomous systems and enterprise AI operations.
Throughout that evolution, Cinchy has appeared in Gartner research across multiple technology categories—not because the company has chased market trends, but because the underlying challenge has remained remarkably consistent: How do organizations securely connect information, systems and now AI?
This page brings together Gartner research featuring Cinchy, providing CIOs, CISOs, enterprise architects and AI leaders with a single resource for exploring the technologies shaping trusted enterprise AI.
The Journey
Artificial intelligence may feel like a dramatic shift, but from an enterprise architecture perspective, it’s the next chapter in a much longer story.
2019–2023
Data Collaboration
2024
Data Fabric
2025
Application Architecture
2026
Trusted AI
Destination
PeriMind
The Enterprise Control Plane for Trusted AI
The same capabilities that once enabled trusted data collaboration now enable trusted AI operations: secure access to enterprise data, policy-based governance, controlled system interactions, auditability, runtime visibility and enterprise trust.
Research Trends
Looking across Gartner research over the past several years reveals something interesting. The categories themselves have evolved.
Earlier Research Focused On
More Recent Research Examines
This isn’t a replacement of one technology with another. It’s the maturation of enterprise architecture into the AI era. As organizations move from connecting applications to orchestrating AI systems, governance becomes operational rather than theoretical.
That’s precisely where PeriMind fits.
Research Coverage
Below is a collection of Gartner research in which Cinchy has been recognized over the past several years. We encourage readers to explore these reports directly to better understand the technology trends influencing enterprise AI, integration and data architecture.
| Gartner Research | Cinchy Category | Year |
|---|---|---|
| Hype Cycle for AI in Application Integration and Architecture | Digital Integration Hub, Data Hub iPaaS | 2026 |
| Hype Cycle for AI and Cloud Platform Services | Data Hub iPaaS | 2026 |
| Hype Cycle for Midsize Enterprises | Data Hub iPaaS | 2026 |
| Hype Cycle for Cloud Platform Services | Data Hub iPaaS | 2025 |
| Hype Cycle for Application Architecture and Integration | Digital Integration Hub, Data Hub iPaaS | 2025 |
| Hype Cycle for Application Architecture and Integration | Digital Integration Hub, Data Hub iPaaS | 2024 |
| Gartner Research | Cinchy Category | Year |
|---|---|---|
| Hype Cycle for Investment Services Digital Transformation | Data Fabric in Investment | 2026 |
| Hype Cycle for Investment Services Digital Transformation | Data Fabric in Investment | 2025 |
| Hype Cycle for Investment Services Digital Transformation | Data Fabric in Investment | 2024 |
| Gartner Research | Category | Year |
|---|---|---|
| Market Guide for Data Management Platforms | Data Management Platform | 2025 |
| Reference Architecture Brief: Data Integration | Data Integration | 2025 |
| Hype Cycle for Enterprise Process Automation | Data Hub iPaaS | 2025 |
| Hype Cycle for Revenue & Sales Technology | Digital Integration Hub | 2025 |
| Hype Cycle for Revenue & Sales Technology | Digital Integration Hub | 2024 |
| Hype Cycle for Enterprise Communication Services | Digital Integration Hub | 2025 |
| Gartner Research | Category | Year |
|---|---|---|
| Healthcare Data, Analytics and AI | Data Fabric | 2024 |
| Healthcare Providers | Data Fabric | 2024 |
| Real-Time Health System Technologies | Data Fabric | 2024 |
| Life Science Clinical Development | Data Fabric | 2024 |
| Life Science Commercial Operations | Data Fabric | 2024 |
| Gartner Research | Category | Year |
|---|---|---|
| Emerging Tech Impact Radar: Artificial Intelligence | Data Fabric | 2024 |
| Emerging Tech Impact Radar: Enterprise Software | Data Fabric | 2024 |
| Tool: Vendor Identification for Metadata Management Solutions | Metadata Management | 2024 |
| 6 Lessons Data Leaders Can Learn From the Early Adopters of Data Mesh | Data Mesh | 2024 |
| Building Resilient Data Management Strategies Amid Global Trade Policy Volatility | Data Management | 2025 |
These reports build on the research history documented internally through Cinchy’s analyst program and recent Gartner inclusions across AI, cloud, integration and industry-specific architecture research.
Enterprise Impact
It’s tempting to think of AI governance as a new discipline. In reality, it’s the convergence of several disciplines enterprises have been investing in for years:
AI simply brings those disciplines together at runtime. Instead of governing data moving between applications, organizations now need to govern AI interacting with enterprise systems.
Instead of controlling user permissions, they must control autonomous AI actions.
Instead of monitoring APIs alone, they need visibility into AI decision paths and system interactions.
The destination isn’t simply AI governance. The destination is trusted AI operations.
Product Evolution
Cinchy’s evolution reflects the same journey many enterprises are taking.
The Data Collaboration Platform helped organizations securely connect and govern enterprise information across systems without creating more copies of data.
PeriMind builds on those same architectural principles, extending them into the AI era. Today, organizations aren’t just connecting applications. They’re connecting AI assistants, copilots and autonomous agents to mission-critical systems. That requires more than connectivity.
It requires policy enforcement, runtime governance, auditability and operational trust. PeriMind provides that control layer, helping enterprises safely move from AI experimentation to production-scale AI operations.
FAQ
Continue Exploring
Blog
AI Governance Blog
News and insights on AI governance, enterprise AI and trusted AI operations.
Read moreReference
AI Governance Glossary
Essential AI governance, AI security and AI agent terms every business leader should know.
Read moreProduct
What is PeriMind?
The case for AI action governance and how PeriMind helps enterprises adopt AI safely.
Read moreIf you’re evaluating enterprise AI architecture, Model Context Protocol, agentic AI or production AI governance, schedule an AI Architecture Strategy Session to learn how PeriMind enables secure connectivity, policy-driven governance and AI Action Governance for production-scale enterprise AI.
Let’s Talk