Artificial intelligence adoption is no longer a future initiative—it is already embedded across enterprise operations. Organizations are deploying generative AI, AI-assisted workflows, agentic systems, and model-connected applications at unprecedented speed. Yet while AI capabilities continue to advance, most enterprises remain unprepared to govern, monitor, and control what they have already deployed. The result is a widening operational maturity gap between AI adoption and AI readiness.
In this webcast, SANS Certified Instructor Matt Bromiley will explore the operational realities of managing AI-driven environments and examine the three foundational disciplines organizations must develop to close the maturity gap: governance, visibility, and control. Attendees will learn how these disciplines work together to enable safe adoption of AI technologies while reducing operational complexity and strengthening security outcomes.
What You Will Learn
- Why AI adoption is accelerating faster than enterprise governance and operational controls
- What Agentic NetOps is—and how it differs from AIOps, intent-based networking, and traditional automation platforms
- How organizations can assess and address the growing gap between AI deployment and AI operational maturity
- Why governance, visibility, and control form the foundation of secure AI operations
- The impact of emerging regulations, including the EU AI Act, DORA, and evolving global AI compliance requirements
The organizations that successfully operationalize AI will not be those that adopt the most tools—they will be the ones that establish the governance frameworks, visibility capabilities, and control mechanisms necessary to manage AI safely at scale. As agentic systems become increasingly integrated into enterprise environments, the network control plane is evolving from operational infrastructure into a strategic foundation for AI success.
