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The Automated Governance Maturity Model has been introduced to help organizations navigate the complexities of governance in an era dominated by AI-generated code. This model provides a framework for assessing capabilities across policy, evaluation, enforcement, and audit, enabling organizations to automate governance processes effectively. Feedback is encouraged to refine the model and expand its practices and guidance.

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.

The on-demand webinar discusses strategies for managing SaaS sprawl, highlighting the challenges faced by IT and security teams due to the rapid growth of SaaS applications and AI tools. It emphasizes the importance of proactive SaaS governance to enhance visibility, optimize spending, and automate processes for onboarding and offboarding users.