UK financial regulators recently held urgent discussions with cybersecurity officials and major banks to assess risks posed by new AI models. This session will examine today’s complex cyber landscape and explore what needs to be done, and when, to make it safer.
- NCSC CEO Richard Horne warns, AI makes it “easier, faster, and cheaper” for attackers to discover and exploit weaknesses, creating growing pressure on organisations to patch systems far more rapidly than current practice
- In the near term, AI will expose organisations that haven’t taken adequate steps to protect themselves.
- Looking further ahead, organisations must prepare for post-quantum cryptography, while more immediate priorities include agentic AI risks, supply chain attacks, ransomware, cyber insurance, and building genuine cyber-resilience
Three human capabilities amplified by AI.
Why hybrid teams outperform automated/manual models.
What leaders must redesign in culture and workflow.
How day 1’s digital backbone enables day 2’s human and machine capability. Why 2026-2030 will redefine roles, skills and decision making and the shift from digital transformation to digital performance leading to precision and proof.
The first pricing, claims and liability shifts insurers must prepare for
From driver risk to risk system, what disappears first.
How pricing models will change.
What changes with autonomous vehicles in insurance.
The market has moved on from ambition to accountability, and the firms pulling ahead are the ones turning digital investment into measurable performance.
- Smart technology investment can allow insurers acquire more customers while addressing wider macro issues such as underinsurance
- Deployment of AI across all industries outside of insurance brings cyber policies to the forefront as a market opportunity
- To give required ROI, tech investment has to be targeted and appropriate for the size and nature of insurance organisation
The question is no longer whether AI belongs in the underwriting process. It is how to combine machine intelligence and human expertise to make faster, better and more consistent risk decisions. We examine:
- How leading insurers are redesigning underwriting workflows around AI, and where human judgement remains the critical differentiator
- How the rhythm of risk selection is changing, from submission triage and pricing support to referral logic and portfolio steering
- What the shift means for key roles, team structures, and the skills carriers need to build for the next phase of transformation
MODERATOR: Aadil Bundeally, Transformation Director, Lloyds (Former)
