Zero-Trust for Agentic AI – Identity, Policy and Control for Non-Human Actors

Agentic AI systems are useless without provable identity, least-privilege authorization, and strong supervision for non-human actors. This session builds directly on board use cases calling for Zero-Trust identity frameworks for agentic AI in Tier-1/Tier-2 operations, extending those concepts into a full enterprise security model. Key Questions: – How do you assign and manage identity, credentials, and posture for agents that can provision, patch, and reconfigure networks, applications, and data pipelines? – What does capability-scoped, time-boxed authorization look like in practice for AI tools and agents?…

From NOC to AOC – Agentic Operations You Can Trust

Building on the NYC “From NOC to AOC” concept, this session focuses on operational trust: how to evolve from human-centric operations centers to Agentic Operations Centers (AOCs) where AI agents handle most monitoring and remediation—but humans still own accountability. It ties directly into ONUG’s 2026 focus on agentic operations you can trust, including standard identity, guardrails, and observability. Key Questions: – What work should be fully handed to agents in 2026 (Tier-1, Tier-2 incidents, routine changes), and what must remain human-centric? – How do you…

Enterprise-Ready AI: Breaking Through the Infrastructure Barriers to Production

Across the Global 2000, most AI initiatives remain stuck in experimentation and proof-of-concept phases. The reasons are clear: GPU and accelerator costs remain high, hardware obsolescence cycles are accelerating, skilled infrastructure talent is scarce, equipment lead times are unpredictable, and many enterprises lack the power, cooling, and space required to scale AI infrastructure. This session examines how the vendor ecosystem is responding with new silicon, system architectures, networking fabrics, managed AI infrastructure, and consumption models designed to reduce risk and accelerate enterprise adoption. The discussion…

Build vs Buy AI: Frontier Model Consumption or Private Enterprise Infrastructure?

Large enterprises face a fundamental choice: consume frontier models via APIs or invest in private AI infrastructure to run (and potentially tune) models closer to their data and controls. This panel compares both paths using real-world constraints—security, compliance, latency, reliability, cost, and strategic differentiation—and leaves attendees with a pragmatic way to decide what to rent, what to own, and what to keep hybrid.

Defending Against Adversarial AI Agents – From Digital Darwinism to Guardrails

As enterprises adopt agentic AI, they face a new class of adversary: autonomous, goal-seeking agents that probe controls, data, and policies at machine speed. Building on ideas like “Digital Darwinism” and adversarial agents competing to optimize infrastructure, this session asks: what happens when attackers weaponize agents—and how do we respond? Key Questions: – How will adversarial agents change red-teaming, penetration testing, and threat modeling? – What defensive patterns are emerging for agent endpoint protection, data controls, and PII sensitivity mitigation? – Where do AI guardrails,…

Agentic Overlays & Agent-to-Agent Fabrics – Making Autonomous Agents First-Class Network Citizens

Agentic AI overlays promise networks that sense, reason, and act—but the real challenge is treating AI agents as first-class identities in the network. Building on ONUG’s A2A and Agentic Overlay concepts, this session explores how to standardize identity, trust, and messaging among agents, and how those agents interact with the underlying network fabric. Key Questions: – What should an A2A reference architecture look like in a large enterprise (broker vs. mesh, policy dialects, schemas)? – How do we provide Zero-Trust identity and least-privilege capability routing…

AI in Action: The Great Re-Platforming of Enterprise Infrastructure- Main Stage Keynote

Enterprise AI is moving from experimentation to production—and infrastructure teams now control whether their companies win or fall behind. We are living in a moment of exponential progress driven by AI, where capabilities accelerate rapidly and traditional planning cycles no longer apply. As agentic systems take on Tier 1 and Tier 2 operations, generative infrastructure designs itself, and governance frameworks mature, a new reality is emerging: AI is driving a workload repatriation wave—as data gravity, IP protection, control, and security concerns force new architectural and…

Welcome to the AI Networking Summit!

Join our Emcees to hear all about the upcoming keynotes and sessions that will explore how to unleash the power of AI in enterprise infrastructure and applications. Get ready for 2 full days of thought leadership from industry leaders across a wide range of major industries.