CIO & CISO Think Tank

Most enterprises now have hundreds of AI pilots and a handful of production deployments. Few can quantify the actual financial return. As budgets tighten and boards demand accountability, CIOs are under pressure to convert experimentation into measurable revenue, cost savings, and productivity gains. This session presents a disciplined approach to AI value capture—identifying the workflows where AI delivers durable economic impact, structuring measurement frameworks that hold up to CFO scrutiny, and shutting down pilots that consume resources without producing results. Attendees will gain a concrete model for moving AI from line-item expense to line-item contribution.

Agentic AI is moving from demo to deployment, and the implications for enterprise operations are profound. Autonomous systems that perceive, decide, and act without human intervention require fundamentally different process design, control structures, and accountability models than any previous technology. This panel brings together CIOs and CISOs who are actively deploying agentic AI in production environments. They will discuss what works, what fails, and how to build the organizational scaffolding—governance, observability, kill switches, and human escalation paths—required to deploy autonomous systems at enterprise scale without losing control.

As governments worldwide tighten data localization requirements and customers demand greater control over where their information lives, sovereign AI is moving from regulatory checkbox to strategic differentiator. This session explores how forward-looking CIOs are architecting AI capabilities that respect jurisdictional boundaries while delivering global-scale performance, and why the ability to demonstrate data sovereignty is becoming a competitive prerequisite in regulated industries.

CIOs face increasing pressure to deliver on the promise of generative AI while maintaining strong governance, visibility, and compliance. As browser-based AI tools proliferate across the workforce, the challenge has shifted from adoption to responsible enablement. Employees are integrating AI into workflows to achieve new efficiencies, but often through unapproved or unmanaged applications that expose the enterprise to data leakage and compliance risks.

In this session, CIOs and IT decision-makers will learn how to strike the right balance between productivity and control. This session will explore the operational, security, and compliance implications of “Shadow AI,” reveal how sensitive data finds its way out of the enterprise and into unauthorized AI tools, and share strategies for establishing policies that unlock AI’s potential safely. Attendees will leave with a clear understanding of how to maintain governance and visibility while empowering their organizations to capture the full business value of AI.

Traditional resilience planning ends at recovery time objectives. Modern resilience demands the ability to keep operating—safely and at full capacity—while an active attack is in progress. This panel explores how leading enterprises are building "operate through" capabilities: segmented architectures that isolate compromise, immutable data layers that resist encryption, communication channels that survive identity provider outages, and rehearsed muscle memory for sustained adversary contact. The conversation moves the resilience discussion from disaster recovery to continuous operations under pressure.

The CISO role has been transformed by regulatory expansion. SEC disclosure requirements, expanded fiduciary expectations, and high-profile cases of personal liability have raised the stakes for every security executive. In this candid fireside chat, a sitting CISO and a board director discuss the new operating reality—what disclosure decisions actually look like in practice, how to structure documentation that protects the executive and the company, and how to build the kind of board relationship that holds up under regulatory and legal scrutiny. Honest, practical, and directly applicable to anyone operating in or aspiring to the CISO seat.

Employees are using AI tools faster than security teams can sanction them. Browser-based assistants, embedded copilots, and unsanctioned APIs now process sensitive enterprise data outside any governance framework. This session presents practical strategies for discovering, classifying, and governing the full AI footprint—turning shadow AI from a compliance crisis into a managed enablement program that captures productivity gains without surrendering control.

The convergence of generative AI with social engineering has produced a new class of attack: convincing voice clones impersonating executives, video deepfakes authorizing wire transfers, and synthetic identities passing standard verification. The financial and reputational damage is already measurable, and existing controls are insufficient. This panel brings together CISOs who have faced these attacks and the practitioners building the next generation of defenses. Topics include deepfake detection at scale, authentication architectures that resist synthetic identity, employee training that actually changes behavior, and the cross-functional response playbooks required when a high-fidelity impersonation lands.

With state-level privacy laws proliferating across the US and customer expectations rising in parallel, privacy is moving from cost center to strategic asset. This session explores how leading CIOs are architecting privacy capabilities that go beyond minimum compliance—turning data stewardship into a marketable competitive advantage and a foundation for customer trust that translates directly to revenue.

The skills profile of a productive engineering team has changed faster than most workforce strategies can absorb. AI fluency, the ability to direct rather than write code, and human-AI collaboration are reshaping productivity at every level. This session examines how CIOs are restructuring engineering organizations for a GenAI-native workforce—covering hiring profiles, internal mobility, performance metrics, and the cultural work required to integrate AI augmentation without fragmenting team identity or output quality.