Executive Summit

As AI adoption accelerates, CISOs face growing pressure to enable innovation while managing an increasingly complex risk landscape. Across cloud, SaaS, edge, APIs, and AI-powered applications, threat actors are exploiting trusted services, automated attacks, and expanding digital ecosystems to operate undetected. To stay ahead, security leaders must build security, governance, and resilience into the foundation of AI and modern application strategies, ensuring innovation can be scaled responsibly without compromising trust.

Join this session to explore:

• Managing emerging risks across AI, cloud, and SaaS ecosystems
• Strengthening governance and controls for responsible AI adoption
• Improving threat detection and resilience in distributed environments

AI agents are now powerful, autonomous actors within enterprise networks—often holding more access and less oversight than human users. For CIOs and CISOs, this is a pivotal moment: identity is no longer a supporting role, but the centre piece of security strategy. As machine-to-machine interactions accelerate, so does the risk of identity exposure and unchecked access across your environment.

Join this boardroom to discuss:

• Governance gaps for non-human identities and AI agents
• The urgent need to unify visibility and controls across fragmented tools
• How adaptive identity management can enable trust at the speed of innovation

CISOs have moved beyond AI experimentation. Now, executives ask: Are 2026’s investments actually reducing risk? The challenge is how to operationalise AI against evolving threats—particularly the rise of sophisticated social engineering attacks—and prove its value. 

Join this session to discuss:

• Reducing high-risk incidents—from fraud to emerging human-centric threats
• Embedding AI into core security operations for proactive defense
• Demonstrating measurable security improvements with actionable metrics

Enterprises are now moving faster than their operating models can support, with legacy processes, brittle architectures, and human‑centered resilience measures unable to keep pace with AI‑driven development cycles and the new agility expectations placed on CISOs. There will be a shift towards autonomous, self‑managing IT estates, but how to get there with the persistent challenges of operational drag and reactivity based models can seem an overwhelming question.
Join this session to learn:

• A practical roadmap for evolving from manual operations to autonomous, self‑healing systems without losing governance or oversight
• Organisational strategies to realign people, processes, and investment models around machine‑speed defence and recovery
• A board‑ready framework for defining what autonomy is allowed to do, how actions are explained, and how to rapidly reverse errors at scale

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.

Step into a realistic cyber crisis simulation where an AI-enabled attack disrupts critical business operations and enterprise technology services. Working through key decision points, you'll explore how executive leaders make the strategic calls that shape organizational resilience - balancing continuity, stakeholder trust, and recovery to return to a secure, trusted operating state after a major cyber event. Security Leaders will challenge assumptions about preparedness and what it really takes to recover.

Join this interactive session to learn more about:

• AI-driven attacks and their impact on business continuity
• Balancing risk, continuity, and recovery when systems, data, and AI are compromised
• Leading cross-functionally through crisis, from decision-making authority to stakeholder communication

As AI adoption accelerates across UK organisations,  CISOs face a growing challenge: governing AI-driven workflows with security architectures built for a pre-AI world. Prompts, copy-paste actions, agent tool calls, and generated outputs occur at the point of work, often beyond the visibility and control of traditional network-based enforcement.

Join this session to learn more on:

• Where SASE gaps create unseen AI risk and data exposure
• How to adopt last-mile AI controls without disruption
• Why AI governance breaks down at the point of work

AI is accelerating how vulnerabilities are created, discovered, and exploited—shrinking the window to respond. Many teams are asking the same question: how do we operate in a world where vulnerabilities can be exploited faster than ever?

Join this session to learn:

• Focus on the vulnerabilities that are truly exploitable
• Prioritize and fix critical risk faster with code, cloud, and runtime context
• Stay ahead of AI-driven threats with continuous threat readiness

As agentic AI moves into execution, governance becomes the foundation for scale. AI agents operate across data, identities, and business processes at machine speed, making data not simply an asset, but the new control plane. CISOs must evolve from enforcing controls to orchestrating data‑centric, intent‑aware governance that enables safe, rapid AI adoption.

Join this session to learn how to:

• Detect and govern emerging risk behaviors in autonomous AI systems
• Implement a data-centric, intent-aware governance model that scales with AI
• Establish the CISO as the orchestrator of AI enablement and a driver of business growth

Join this interactive discussion with fellow CISOs on enabling and protecting AI to exchange perspectives, explore common challenges, and uncover practical ideas and strategies you can apply within your organisation.