Europe's AI Cyber Capability Gap, and How to Close It: Our Playbook for Adversarial AI, Mythos, GPT-5.5, Opus 4.8, and Daybreak

​Europe's AI Cyber Capability Gap, and How to Close It Our Playbook for Adversarial AI, Mythos, GPT-5.5, Opus 4.8, and Daybreak

​The gap is not new. The boardroom attention is.

​In December 2024, we investigated the first AI-agent-assisted post-exploitation on a European bank — recon, enumeration, persistence, lateral movement, unpredictable and context-aware in real time. That was 18 months before Mythos was announced.

​The frontier is moving faster than most security programs can respond.

​Mythos, GPT-5.5, Opus 4.8, Daybreak — frontier AI cyber capability is shipping in rapid succession, and the operationalization question is no longer whether to engage with it, but how. AISI independently validated that GPT-5.5 scores above Mythos on expert cyber tasks, and open models running inside a well-built harness already reach the same performance bar. The model is not the constraint. The loop you operate is.

​This session is a practitioner's playbook built by operators who run adversarial-grade, non-refusal AI in production — every day.

​We'll walk through how we operationalize adversarial-grade AI across the full kill chain — the models, the harness, the orchestration, the evidence layer, and the human-in-the-loop architecture that makes it deployable in production environments. What works today, what the adversary stack looks like, and how to build the loop that closes the gap: find, validate, decide, act, retest, collect evidence.

​For CTOs and CISOs at financial services, critical infrastructure, and regulated enterprises across the EU.