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AI Frontier Models Deployed in UK Government Cyber Defence Pilot

The UK Government has piloted the use of advanced AI models, including Claude Mythos and GPT-5.5, to bolster its cyber defences. This initiative, led by the Government Cyber Coordination Centre (GC3), successfully identified over 400 vulnerabilities in public sector code repositories.

  • Government Cyber Coordination Centre (GC3) led a pilot using frontier AI models for cyber defence.
  • The initiative identified 407 vulnerabilities, including critical weaknesses, across nine government organisations.
  • AI models demonstrated ability to trace vulnerabilities across service boundaries, surpassing traditional scanners.
  • The project cost £13,000 in 'tokens' over a month, with all critical weaknesses now remediated.
  • The pilot highlights the potential of AI to enhance public sector cyber resilience against evolving threats.

The UK Government has embarked on a pioneering project, deploying advanced Artificial Intelligence (AI) models to strengthen its cyber defence capabilities. Led by the Government Cyber Coordination Centre (GC3), a collaborative effort between the National Cyber Security Centre (NNCSC) and other government bodies, the initiative aimed to identify and mitigate previously unknown vulnerabilities within public sector code.

The pilot involved a series of weekly hackathons where teams utilised 'frontier' AI systems, such as Claude Mythos and GPT-5.5, to scan public code repositories across various government departments. These cutting-edge AI models, known for their rapidly evolving cyber capabilities, were tasked with finding potential weaknesses before they could be exploited by malicious actors. The UK AI Security Institute (AISI) provided specialist support and evaluation expertise throughout the process.

The exercise proved highly successful, leading to the identification of 407 findings in total. These included critical weaknesses that could have exposed government services to authentication bypasses, data breaches, and remote code execution. While some vulnerabilities were already understood and managed by existing controls, others were entirely new discoveries. All critical weaknesses have since been remediated, and importantly, no evidence of exploitation was found for any of the identified issues.

One of the key advantages demonstrated by the AI models was their ability to trace vulnerabilities across different service boundaries, a feat that traditional scanning tools often struggle with. The AI also effectively linked business logic with technical details, providing a more comprehensive understanding of potential risks. The project, which involved nine government organisations over a month, incurred a cost of £13,000 in AI 'tokens'.

The Government's strategy of encouraging open-source code by default, with justified exceptions, played a role in this initiative. While this openness can create shared visibility that attackers might exploit, it also fosters cleaner, more maintainable code and allows for quicker deployment of new capabilities once robust pre-publication scrutiny is complete. The successful pilot suggests a promising avenue for enhancing the UK's overall cyber resilience, aligning with the broader objectives of the Government Cyber Action Plan.

Labour's Shadow Digital Secretary has yet to issue a formal response to the pilot's findings, but the party has consistently called for robust investment in cyber security and responsible AI development to protect critical national infrastructure and public services.

Why this matters: This initiative demonstrates the UK Government's proactive approach to cyber security, leveraging advanced AI to protect vital public services and sensitive data from increasingly sophisticated threats. It highlights how cutting-edge technology is being deployed to safeguard the digital infrastructure citizens rely on.

What this means for you: What this means for you: This development aims to make government digital services, from tax portals to healthcare systems, more secure. By proactively identifying and fixing vulnerabilities, the risk of your personal data being compromised in a government cyber-attack is reduced.

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