BLOG | Jul 10, 2025

Preparing for Agentic AI in the Network: What Tech Leaders Need to Know

Upcoming webinar explores the role of data, trust, and digital twins in deploying agentic AI safely and effectively

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Dawn Slusher Senior Manager, Content Marketing and Analyst Relations

Who should read this post?

Technology executives (CIOs, CISOs, and CTOs) evaluating the risks and opportunities of adopting agentic AI in enterprise infrastructure
Network and security architects exploring how to safely operationalize AI-driven automation
IT leaders responsible for data governance, change management, and system resilience in hybrid environments

What is covered in this content?

Technology executives (CIOs, CISOs, and CTOs) evaluating the risks and opportunities of adopting agentic AI in enterprise infrastructure
Network and security architects exploring how to safely operationalize AI-driven automation
IT leaders responsible for data governance, change management, and system resilience in hybrid environments

As agentic AI shifts from concept to pilot projects, technology executives are beginning to grapple with the real implications: How do you enable AI agents to operate within your network without introducing new risks? What does it take to trust automated decisions? And how do you build the right foundation before deploying AI in production?

These questions—and many more—will be addressed in the upcoming webinar, Agentic AI in the Network: Data, Trust, and the Path to Adoption, taking place on July 24 at 11:00 a.m. PT. The session will feature a conversation between Howard Holton, COO of GigaOm, and Dr. Nikhil Handigol, co-founder of Forward Networks.

This is a strategic discussion for technology leaders—not a product demo. The focus will be on understanding the prerequisites for safe AI adoption in enterprise networks, especially as AI tools become more autonomous and deeply integrated into infrastructure and operations.

What You’ll Hear in the Webinar

Why agentic AI raises the stakes

Unlike traditional AI, agentic systems don't just generate responses—they take action. That introduces new challenges around governance, security, and trust. Holton and Handigol will discuss what makes agentic AI so powerful—and potentially dangerous—without the right controls in place.

Why “data and trust” are non-negotiable

Expect a deep dive into why AI performance is tightly coupled to the quality of data it’s trained on and operating against. The conversation will explore how enterprises can ensure their AI systems have access to detailed, accurate, and normalized data—especially in complex, multi-vendor environments.

What is the role of a network digital twin

You’ll learn how digital twin technology can provide the behaviorally verified data and simulation capabilities needed to guide agentic AI. Topics will include how digital twins differ from traditional monitoring tools, how they help prevent unintended side effects of change, and why verification and rollback capabilities are critical.

What are the top use cases for AI in networking and security

From simulated ransomware response and autonomous troubleshooting to safer configuration changes and risk modeling, Holton and Handigol will walk through realistic applications that AI can support—provided the right guardrails are in place.

What to do now to prepare

Perhaps most importantly, the speakers will offer practical guidance on where to begin. Whether your organization is just starting to explore agentic AI or actively developing use cases, this session will help you assess your readiness and identify next steps.