AI Security: Learning from the Front Line - Check Point & DXC (CAIO Inspired Summit, Syon Park)
Overview
In this peer panel from the CMO & CAIO Inspired Summit at Syon Park, London, in October 2026, Douglas Hamandishe of Medway Council is joined by Stephen Love of DXC Technology and Stuart Green of Check Point Software Technologies to explore how organisations are tackling AI security on the front line.
The panel argues that AI does not so much create new attack surfaces as speed up the exploitation of existing weaknesses. They discuss balancing risk and reward so that security enables rather than blocks AI, discovering and controlling AI agents, keeping a meaningful human in the loop, and why the security fundamentals still apply.
Key takeaways
- The biggest change is pace: AI agents can find and exploit unpatched, internet-facing vulnerabilities far faster than a human attacker, so patch as soon as you can.
- Blocking AI outright pushes people towards personal devices and workarounds; security should enable safe use, with data classification stopping sensitive information from being shared.
- Start by discovering where your agents are and what they can access, as users do not always realise they have created one.
- Treat agents as identities: apply least privilege, role-based access and robust controls to the APIs, files and data they touch.
- A human in the loop only works if people have time to think; under pressure, approvals become rubber stamps and the control degrades back into automation.
Watch the full session on YouTube: AI Security: Learning from the Front Line — A Peer Panel with Check Point and DXC


