Opening article
The UK AI Security Institute released its 2025 year in review, highlighting major milestones in technical science, government preparedness, and international partnerships. Director Adam Beaumont reflected on the organization's achievements, including testing over 30 advanced models and releasing the first Frontier AI Trends Report. The institute also expanded its open evaluation tools, such as Inspect and ControlArena, and deepened research collaborations with leading AI developers.
As we close out 2025, I’ve found myself reflecting on what an extraordinary year it has been for the AI Security Institute (AISI). When I joined only a few months ago, I was instantly struck by what an incredibly unique team of talent has assembled, experts with direct experience of the frontiers of AI, drawn from around the world. People who have answered the call to help navigate AI’s challenges safely and securely for decades to come.
This year, that mission sharpened and accelerated in ways that make me incredibly proud of this organisation and the people in it. We’ve shifted to a clearer, more focused remit, reflected in our new name: the UK AI Security Institute. And across technical science, government preparedness, international partnerships, and the tools we’ve put in the hands of the wider ecosystem, AISI has stepped up in a way few would have thought possible two years ago.
Everything we have achieved this year points in one direction: rigorous science, turned into practical action, so the UK can stay safe while realising AI’s enormous potential.
Below are ten achievements that capture the scale and direction of our work this year.
Last week, we released our first Frontier AI Trends Report , providing a clear, evidence‑based picture of how frontier AI capabilities are evolving, based on two years of AISI’s testing.
This is a major milestone for the UK and for AISI. For the first time, we’ve put hard numbers behind what the most advanced AI systems can actually do. The trends we highlight – rapid capability growth across cyber, biology, chemistry and software engineering, alongside improving safeguards – underline why having this capacity inside the UK government matters. It gives the public, policymakers and our partners a clear view of AI progress that is grounded in data rather than speculation.
The expansion of rigorous model evaluations and open-source safety tools by the UK AI Security Institute provides critical, data-driven insights into frontier AI risks that help governments, developers, and the broader ecosystem navigate safety challenges.