WHITE PAPER

Agentic Lifecycle Management

Generative AI is reshaping cloud operations - drafting Terraform, proposing remediations, and summarizing incidents. But speed alone is not success. Without trusted context and governance, agentic automation becomes unsafe fast.

This paper introduces Agentic Lifecycle Management: an operating model that combines Infrastructure Lifecycle Management (ILM) and Security Lifecycle Management (SLM) to make autonomy auditable, repeatable, and safe.

What You’ll Learn

  • Why AI succeeds in Day 0–1 but fails in Day 2+
  • How a context layer and infrastructure graph enable safe autonomy
  • A reference architecture for governed agentic workflows
  • Practical use cases: vulnerability response, secret rotation, cost optimization
  • A clear maturity path from copilots to autonomous operations

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