Cyberattacks are no longer just a security problem — they're a direct threat to production, business continuity, and the everyday flow of operations. As threat actors grow more organized, borderless and join forces through converged crime, the cost of disruption is rising, and traditional defenses are struggling to keep pace. This session explores how accountability and deterrence models, including cybercrime bounty programs, cross-border law enforcement cooperation, and public-private intelligence sharing, are creating friction for attackers and helping organizations stay operational under pressure. Hear from international security leaders on how collaboration across industries, governments, and borders is shifting cyber defense from reactive recovery to proactive resilience.

In this panel, cybersecurity leaders from industrial organizations share lessons learned securing OT and critical infrastructure amid rapid AI adoption and an evolving threat landscape. Panelists discuss how real-world incidents are reshaping strategy, how AI changes both defenses and adversary tactics, and how to reduce risk without disrupting operations. Takeaways include governance and accountability, partnering with operations and engineering, third-party exposure, incident readiness, and building measurable resilience across plants and sites.

AI is already reshaping the network—often faster than security policies can keep up. Employees are adopting AI tools in their daily work, frequently without considering the security implications, while AI-powered threats grow more sophisticated by the day. How do IT leaders balance innovation with protection in this new landscape? In this panel discussion, experienced IT and security leaders will share how they're navigating that balancing act in real time: where to tighten controls, where to build flexibility, and how to align security and business priorities around AI adoption. Expect candid conversation about what's working, what's keeping leaders up at night, and where the industry is headed next. Walk away with practical perspective from peers facing the same questions—and new ways to think about security in the age of AI.

The Security Operations Center has become a strategic priority for the enterprise, and AI has emerged as the defining force reshaping how security outcomes get delivered. But as leaders operationalize AI in the SOC, a second question rises just as fast: can it be trusted, and can its use be governed? Join a panel of senior security and technology leaders for an executive conversation on both fronts. The discussion moves beyond the hype to examine where AI is creating measurable value in security operations today, how it is reshaping the role of the analyst and the economics of the SOC, and what changes as adversaries adopt the same capabilities. It then turns to the trust and governance questions leaders can't defer: where AI runs and who can access sensitive data while it is processed, how the platform beneath the model proves it deserves trust, and how AI's use is governed across an enterprise spanning cloud, data center, and the edge — connecting platform security with identity, policy, and runtime controls. Panelists will share the strategic decisions, investment priorities, and organizational shifts that separate leaders who are simply adopting AI from those operationalizing it — securely and accountably — for lasting advantage.

As AI shifts from assistive tools to autonomous agents acting on the enterprise's behalf, leaders face a structural decision that will shape their risk exposure for years: how much of that intelligence to run under their own control, and how much to consume as a cloud service. This session examines the future of hybrid agentic services — where enterprise-managed and cloud-delivered AI meet — and the governance choices that decide whether that architecture strengthens resilience or widens the attack surface. It steps back from the day-to-day to frame the macro risks of an agentic enterprise: the tension between control and capability, the part open-source models will play and the trade-offs they carry, and the governance decisions — about data, autonomy, and accountability — that leaders must make before agents scale beyond oversight. Directors and technology leaders will leave with a sharper sense of the questions to ask now, so their AI posture is deliberate rather than inherited.