Legacy Identity Governance and Administration (IGA) was built for a static world, leaving a massive visibility gap across human identities, non-human accounts, and autonomous AI agents. As enterprise environments scale, traditional tools struggle to keep up with fragmented access across hybrid ecosystems. In this session, Vijay Vattikuti explores how a unified, real-time identity graph closes the governance gap.

Attendees will discover how to layer continuous visibility over existing incumbent tools, or replace them entirely, to secure every human and machine identity across the modern enterprise.

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.

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.

AI agents are moving out of demos and into systems that touch real data, real workflows, and real risk. For IT and security leaders, the questions aren’t hypothetical anymore: what should an agent be allowed to do, who’s accountable when it acts on a user’s behalf, and how do you prove that to an auditor after the fact?

In this fireside chat, Sabry and Sam draw on their own enterprise agent journeys to unpack what it actually takes to govern agents in production with identity models and controls that prevent agents from going rogue. What changes when user and data policies get extended to multi-user agents and what does it mean for audits? They’ll close with the lessons they wish they’d known before scaling past the pilot.

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.

As Generative AI transforms how organizations build software, manage data, and generate insights, the skills needed across engineering, data management, and data science are evolving just as quickly. Success now depends on more than technical expertise, it requires teams that can effectively collaborate with AI, build trusted data foundations, and turn intelligence into business outcomes. This session explores how technology and data leaders are redefining hiring, upskilling, team structures, and performance to prepare for a GenAI-native workforce, while balancing human expertise with AI augmentation to drive innovation, productivity, and long-term business value.

Every leader is human, and that’s exactly what makes them vulnerable. In this keynote, Leanne Bertrand, Sr. Acc Executive at Cyberwolf, shows how unconscious cognitive biases quietly make CEOs and board members far more vulnerable than we often realize. 

Based on 100+ real‑world exposure scans for high‑profile leaders, Leanne shares how optimism, authority and fast decision-making creates security gaps, and what CISOs can do to close them without adding friction.

A human look at the blind spots that matter most, and how to turn them into stronger protection.

As organizations and governments push for greater openness, data initiatives are shifting from passive repositories to dynamic engines of innovation. However, unlocking the true value of this data requires more than just making it public - it requires making it accessible, actionable, and intelligent.

This session explores the intersection of open data and next-generation data intelligence. We will dive into how autonomous AI agents are transforming raw datasets into real-time, conversational insights, bridging the gap between complex data structures and user accessibility. Attendees will discover how combining transparency with agentic AI not only drives collaborative innovation but also builds an unshakeable foundation of trust.

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.