Executive Summit

AI is accelerating the democratization of technology, putting powerful capabilities directly into the hands of non-IT users and creating new opportunities for innovation, productivity and business value. Yet many organizations struggle to strike the right balance. Excessive restrictions can fuel shadow IT, while unchecked freedom can introduce security, governance and operational risks. This session explores how CIOs can selectively enable technology democratization, empowering the business to capture its full value while effectively managing emerging risks.

This keynote will explore:

• Balancing innovation and governance in an AI-driven environment
• Reducing shadow IT through strategic enablement and guardrails
• Managing emerging risks while scaling business-led technology adoption

AI can now find and exploit a vulnerability in minutes — faster than any patch cycle or IT team can respond. For CIOs, this is a business risk, not just a security issue: the gap between attack speed and response speed can now disrupt operations. This is where autonomous remediation comes into play.
Join this session to learn:

• Why the gap between attack speed and IT response is now a business risk
• How automatic remediation cuts risk without more headcount or work
• What this shift means for how you prioritize risk, budget and technology

As organizations accelerate AI adoption, leaders across IT and security are being asked to support innovation while maintaining control over sensitive data and operational readiness. Many AI initiatives reveal longstanding challenges around data visibility, governance, risk management, and policy enforcement. Successful scaling of AI requires trust in data, robust controls, and collaborative frameworks that balance innovation, business value, and risk. 

Join this roundtable to discuss: 

• Defining “AI-ready” organizations and overcoming barriers to secure, scalable AI adoption 

• Balancing rapid AI innovation with governance, oversight, and risk management 

• Addressing gaps in data quality, policy, and ownership that impact successful AI implementation 

The network sees nearly every user, device, application and workload interaction across the enterprise. That makes it one of IT's richest sources of operational and security telemetry - but most organizations still use that intelligence primarily to investigate problems after they occur. As networks become capable of identifying anomalies, determining root cause and taking corrective action, CIOs and CISOs face a new question: when should the network be trusted to act on its own?

Join this boardroom to discuss:

• Establishing key controls to safely expand autonomous networking operations and turn network telemetry into continuous operational and security assurance
• Moving from alert-and-respond to prediction, prevention and trusted automated remediation
• Where should humans stay in the loop - and where are they now the bottleneck

Connect with like-minded peers in a one-on-one setting through Peer-to-Peer Meetings. You will be matched with peers in your community based on your shared interests and priorities.

Boards are pressing for measurable AI outcomes. Seventy-two percent of U.S. CEOs report board pressure, and 94 percent of organizations will continue investing in AI whether or not 2026 pays off. Adoption is moving forward despite security concerns. Enterprises now manage a swarm of concurrent, background AI agents making numerous tool calls across browsers, desktops, SaaS, and custom apps. The market response has been 537 AI security vendors.

Join this session discover:

• Operating in the agentic era today, not next year
• Multiplying point solutions faster than the risks they cover
• Questioning where control belongs as agents pursue goals neutrally

Agents are becoming the biggest opportunity in the enterprise, and the biggest adversary. They read your data and act under borrowed identities, at a speed no human review process was built to match. The old question in security was how to keep bad actors out. The new one is more complex: how do you create and manage the biggest risk in your own enterprise, the agents you deployed on purpose?
Join this session to hear about:

• Establishing a framework where data, identity, and agent security operate as one system
• Shifting from asking whether you can trust your agents to determining what access they can be trusted with
• Balancing innovation and risk by creating visibility needed to understand agent activity

Your board wants AI. Your business is already running it. AI governance is maturing fast, but the gap is the external perimeter, where agents act, brands live, and AI attacks now scale rapidly. Closing this gap is not just about protecting the business — it is what makes enterprise AI safe to scale.

Join this session to discuss:

• Navigating governance in the era of context poisoning and external visibility gaps
• Responding to the rise of fake infrastructure targeting enterprise brands
• Owning digital trust to position CIOs and CISOs at the center of the AI conversation