AI is transforming how organisations operate, at a pace that most security, governance and assurance functions struggle to match. At the same time, frontier models are compressing the timelines between vulnerability discovery and exploitation to a degree that fundamentally changes the defensive calculus.
This acceleration means that the AI risk landscape six months from now will look materially different from today, defined by new capabilities, expanding attack surfaces and evolving regulatory expectations. For leaders seeking to build durable governance in this environment, the challenge is not just keeping up, but knowing which questions to prioritise.
What falls within the scope of AI governance when almost every system is now AI-integrated? Where do the hard limits sit, and how are they enforced? How do you design controls that remain effective in a landscape that is constantly shifting? These are not questions with fixed answers. They require continuous judgement, a threat-informed perspective and the ability to adapt frameworks as the environment evolves.
That’s where we come in.
We work with CIOs, CTOs, CISOs and risk owners across financial services, technology, energy, healthcare and critical infrastructure to close the gap between AI adoption and durable control. In practice, that means:
Anthropic’s Mythos disclosure shows AI is accelerating cyber risk timelines. This article explains why Boards should resist panic, interrogate vendor readiness, and rely on the CISO to separate real capability shifts from market signaling and theatrics.
The United States and the European Union are consolidating two structurally different approaches to AI regulation, reflecting competing industrial strategies, national security priorities and political ideologies. This divergence is reshaping market access, investment flows and corporate strategy in real time.
Anthropic’s recent disclosure of the GTG-1002 campaign marks a pivotal moment in the cyber threat landscape. For the first time, a commercially available AI system reportedly executed the majority of a complex cyber espionage operation. This real-world example of AI moving from assistant to operator raises urgent questions for organisations about resilience, governance and defence.
In 2026, compute will define global competitiveness. As AI advances, companies face mounting challenges in securing compute–from infrastructure and talent to legal and geopolitical permissions. Success depends on resilience, cyber readiness, and navigating regulatory and physical constraints.
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