Recursos
Atrás

Únete al tour de IA y datos para recibir formación práctica, conocer historias reales de clientes y pasar tiempo con los expertos en productos de Domo cerca de ti.

Regístrate ahora
Acerca de
Atrás
Premios
Reconocido como líder durante
34 trimestres consecutivos
Primavera de 2025: líder en BI integrada, plataformas de análisis, inteligencia empresarial y herramientas ELT
Fijación

What Is AI Governance? Frameworks, Principles, and Best Practices

3
min read
Monday, March 30, 2026
Table of contents
Carrot arrow icon

See AI governance in action

Watch how Domo helps centralize access controls, lineage, and approvals across data, BI, and AI agents.

Map your AI governance next steps

Book a consultation to align your frameworks, roles, and audit-ready evidence with your AI maturity level.
See Domo in action
Watch Demos
Start Domo for free
Free Trial

Frequently asked questions

What are the four pillars of data governance?

The four pillars of data governance are data quality, data security, data compliance, and data management. Together, these pillars ensure that organizational data is accurate, protected, legally compliant, and properly maintained throughout its lifecycle. Each pillar requires specific policies, processes, and tools to implement effectively.

No items found.
Explore all
No items found.
AI