In our Applied Observability Maturity Model, we map maturity across five maturity levels and six key pillars. Those levels and pillars are not theoretical. They are grounded in three inputs:
What we see in the field across real customer environments and operating models.
What we see evolving in technology across platforms, telemetry, integration patterns, and AI driven operations.
How leading teams connect it to strategy, linking business outcomes to IT architecture, governance, and execution.
However, another dimension of maturity sits beneath the surface: our layered Observability reference framework.
The digital world is being reshaped by AI, and that makes it difficult to understand the implications it has on security. AI agents interpret intent, reason over context, plan next steps, and execute actions across tools and systems without a predetermined script. That autonomy forces a different security mindset.
Your organization is evolving into a connected enterprise. Your ambition is to connect business applications and systems, share data streams with external parties, and enhance partner and developer ecosystems.
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