Frontier AI Threat Defence & Readiness
Preparing clients to defend against a new generation of faster, more capable, AI-enabled cyber threats.
What we see
Frontier AI models are changing the economics of cyber attacks. Capabilities that recently demanded skilled, well-resourced adversaries are increasingly available to a far wider pool of attackers - lowering the barrier to entry while raising the speed, scale, and sophistication of what is possible.
Models such as Mythos are already leading the way in this space, and it is reasonable to assume that DeepSeek and others will not be far behind. The result is a threat landscape that moves faster than traditional, manually-paced defences were designed to handle.
Most organisations have built their prevention and detection investments for a slower, more predictable adversary. Few have stress-tested whether their people, processes, and recovery plans can keep pace when reconnaissance, exploitation, and lateral movement are accelerated by AI - leaving uncertainty about how ready they really are.
What we do
We help clients get on the front foot - moving from reacting to AI-enabled threats to being demonstrably prepared for them. We combine support, advice, and hands-on engineering capability to close the gap between today's defences and the pace of frontier-model-driven attacks.
Our work starts with an honest assessment of readiness: where AI-accelerated threats would have the greatest impact, where current controls and response plans would struggle to keep up, and what it would take to harden them. We translate that into a clear, prioritised plan rather than a list of theoretical risks.
We then bring engineering capability to deliver the improvements that matter - strengthening detection and response, hardening critical services, and ensuring recovery readiness holds up against faster, more capable adversaries. Throughout, we keep the focus on business priorities and impact tolerances, not technology for its own sake.
How we do it
We take a structured, scenario-driven approach - identifying the critical services most exposed to AI-enabled attack, mapping the dependencies involved, and defining defence and recovery strategies that are both practical and achievable.
We design and deliver tabletop and technical exercises that simulate frontier-model-driven scenarios, validating decision-making and testing whether detection, response, and recovery hold up when an adversary moves at machine speed across both technical and business stakeholders.
We then embed the improvements into core ITSM and operational resilience processes - incident, problem, change, and configuration - so that readiness is sustained over time rather than treated as a point-in-time exercise.
The result is an organisation equipped to respond quickly and confidently to a fast-evolving class of threat, while minimising operational and business impact.
Frequently Asked Questions
Q. What is actually new about AI-enabled cyber threats - isn't this just the same attacks, faster?
Speed is part of it, but not all of it. Frontier AI models compress the time between reconnaissance, exploitation, and lateral movement, and they put capabilities that once required skilled adversaries into far more hands. That combination of pace and accessibility is what stretches defences and response plans built for a slower, more predictable attacker.
Q. We already invest heavily in prevention and detection tooling. Why do we need this?
Those investments remain essential - but most were designed for a slower adversary. The question we help you answer is whether your people, processes, and recovery plans can keep pace when an attack is accelerated by AI. Readiness against this class of threat is about proven response and recovery, not tooling alone.
Q. How do you keep this tied to the business rather than turning it into a purely technical exercise?
We start from the critical business services most exposed to AI-enabled attack and what it takes to defend and restore them, rather than from infrastructure alone. That keeps the work aligned to business priorities and to the impact tolerances the business actually cares about.
Q. Frontier models are evolving quickly. How do you stop our readiness from going out of date?
We embed improvements into your incident, problem, change, and configuration processes, and validate them through regular exercising - so readiness is sustained as the threat evolves rather than captured once and left to age. The aim is a living capability, not a point-in-time report.
Q. How do you give the board confidence that we are genuinely ready for AI-enabled threats?
By delivering proven, validated readiness - defences and recovery plans that have been exercised against frontier-model-driven scenarios, dependencies that are mapped and current, and clear evidence of how quickly critical services can be defended and restored. That is assurance the board can stand behind.
