Enterprise AI Governance | Mendix

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기업 AI 거버넌스

Every App, Agent, and Workflow 

Most enterprises govern by exception. Mendix makes governance foundational: enforced centrally and linked to outcomes.

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Your portfolio grew.
So did your attack surface.

60% of enterprises evaluated enterprise-grade AI. Yet only 5% reached production. The gap isn’t capability — it’s governance. Apps built outside central oversight, agents deployed without audit trails, workflows that can’t be traced back to a business outcome. Every ungoverned asset that ships is another liability.

Mendix closes that gap with a single enforcement layer that sits above every app, agent, and workflow in your portfolio — regardless of how it was built, where it runs, or which team owns it.

Landscape-Wide
정책 시행

Enforce policies centrally, not per team or per project.

결과 연계 가시성

Connect every app and agent to a defined business intent.

유연한 배포

배포 날짜 Mendix Cloud, your cloud, or fully air-gapped – and pivot without replatforming.

감사 준비 추적성

Log every agent action, human override, and data lineage event.

Governed AI Spend

Control AI spend with token visibility and behavioral guardrails. 

Proactive Operations

Shift validation left so incidents are caught before they reach production.

Governance That Holds at Scale

Control what’s running across your entire landscape.

섀도우 AI는 미래의 위험이 아닙니다. 사이버 보안 책임자의 69%가 이미 직원들이 금지된 AI 도구를 사용하고 있다고 보고하고 있습니다. 팀별 또는 프로젝트별로 작동하는 거버넌스 모델은 확장성이 떨어집니다. Mendix 모든 앱, 에이전트 및 워크플로에 걸쳐 정책을 중앙에서 시행하므로 한 사업부에 적용되는 규칙이 모든 곳에 적용됩니다.

전체 포트폴리오에 걸쳐 일관된 보안, 규정 준수 및 위험 관리 정책을 시행합니다.

자산이 어떻게 또는 어디에서 만들어졌는지에 관계없이 모든 자산을 실시간으로 파악하세요.

Eliminate the blind spots that shadow IT and shadow AI create 

Connect investment to outcome.

56% of CEOs say AI has not yet produced significant cost or revenue benefits. Most organizations have no mechanism to connect what’s running to what it was supposed to deliver.

Users can tie every app and agent in Mendix to a defined business intent. Leadership sees whether the portfolio is generating value, not just whether it’s active.

Link every asset to a business objective at the point of development

Give leadership the visibility to accelerate what’s working and stop what isn’t

Audit trails from the start, not added later.

Only 12 percent of CROs describe their AI governance framework as highly developed — even as 54 percent already have AI running in production. When the compliance team asks for an audit trail, it either exists or it doesn’t.

Mendix logs every agent action, every human override, and every data lineage event — from the point of development, not as a retrospective layer added after deployment.

Trace every decision back to the agent, the rule, and the data that drove it

Satisfy audit and regulatory requirements without manual reconstruction 

Give the CRO a governance framework that matches the maturity of what’s already in production

Grow the portfolio without growing the ops burden.

Between 50 and 80 percent of total software lifecycle cost sits in operations. Proactive operations don’t just reduce incidents — they change the cost structure of running a portfolio at scale.

Mendix shifts validation left with CI/CD quality gates, AI-powered incident management, and automated monitoring that catches problems before they reach production.

Reduce remediation costs by catching issues at the development stage, not after go-live

Monitor the full portfolio without proportional growth in ops headcount 

Maintain deployment flexibility without re-platforming as compliance & sovereignty requirements change 

리소스

고객 사례

Questions CIOs ask before they sign

How do I enforce governance across everything my teams are building — without slowing them down?

거버넌스 Mendix is foundational. Policies are enforced at the platform level, which means teams don’t manage compliance separately from development — it’s embedded in the process. Quality gates, behavioral guardrails, and policy enforcement run automatically.

What happens when teams start building agents faster than IT can review them?

Mendix enforces governance at the point of creation — quality gates, behavioral guardrails, and policy controls are embedded in the development process itself. Teams don’t need to pause for a review cycle because compliance isn’t a separate step. IT gets visibility into what’s being built and deployed without becoming a bottleneck.

How can I get what I need for an audit without involving engineering?

Every agent action, human override, and data lineage event is logged automatically. Audit reports are generated from live data — not reconstructed after the fact.

어떻게 Mendix connect AI spend to business outcomes? 

Every app and agent is tied to a defined business intent at the point of development. Token usage, operational cost, and outcome data are surfaced in a centralized view — so you can see what’s running, what it costs, and what it’s returning.

어떻게 Mendix handle deployment in regulated environments? 

Mendix supports three deployment categories: Mendix Cloud (single or multi-tenant managed cloud), third-party clouds to your chosen cloud, and a full-stack Private Mendix Platform for environments with strict data sovereignty or compliance requirements. 

How do I avoid getting locked into a single AI model provider?

Mendix is model-agnostic by design. You can integrate multiple LLMs and switch between providers without rearchitecting your apps or agents. That means your AI strategy isn’t held hostage by any single vendor’s pricing changes, capability gaps, or availability issues. 

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