This whitepaper discusses how AI is changing the way platform engineering operates, focusing on the need for better governance and delivery models. It highlights the importance of automation and intelligence in managing infrastructure at scale, offering insights for teams involved in platform management.

This article outlines ten predictions for platform engineering by 2026, focusing on the integration of AI, improved developer experience, and robust governance. It highlights the need for platforms to evolve in response to rising demands for security, cost management, and compliance, ultimately reshaping the skills required for platform teams.

Governance in platform engineering transforms from a manual bottleneck to an automated enabler, allowing organizations to scale confidently while maintaining consistency, compliance, and cost control. By embedding governance features like policy-as-code, RBAC, audit logs, and resource lifecycle controls into the platform, teams can enhance autonomy and speed without sacrificing security and oversight. Real-world examples demonstrate how these practices lead to efficient development and operational trust.