UK Government to Strengthen Cyber Defences Against Emerging AI Threats
The UK Government has announced a series of initiatives designed to enhance national cyber resilience and address the growing risks associated with advanced artificial intelligence (AI). The measures focus on using AI to strengthen cyber security, improving vulnerability management across government systems, and preparing for threats posed by increasingly autonomous AI technologies.
Speaking at Imperial College London, AI Minister Kanishka Narayan outlined plans to expand the use of frontier AI models to identify vulnerabilities in government systems before they can be exploited by attackers. Building on improvements already achieved through the government's central vulnerability monitoring service, AI capabilities will be used to support vulnerability discovery, strengthen protection of critical public services, and improve incident response.
These efforts follow a number of Government Cyber Coordination Centre (GC3) security exercises in which frontier AI models reportedly identified hundreds of software vulnerabilities that were subsequently remediated.
Alongside proactive vulnerability management, the government has announced closer collaboration between the Department for Digital, Culture, Media and Sport (DCMS), the National Cyber Security Centre (NCSC) and the AI Security Institute (AISI) to develop approaches for detecting, containing and responding to incidents involving autonomous or "agentic" AI systems.
This reflects growing concern across the cyber security community that advanced AI systems could introduce new security challenges, whether through unintended behaviour, malicious manipulation or increased automation of cyber attacks. Threat actors are already using AI to enhance phishing campaigns, automate reconnaissance activities and identify vulnerabilities more efficiently, making robust cyber defences increasingly important.
Security Minister Dan Jarvis will also lead a cross-government programme aimed at strengthening the UK's protection against cyber threats, including those enabled by AI. Further details are expected within the forthcoming National Cyber Action Plan.
In addition, the long-anticipated Cyber Security and Resilience Bill (CSRB) is expected to include provisions addressing AI-related risks. Proposed measures may require organisations to report significant cyber incidents and serious AI-related security events, helping improve visibility of emerging threats and enabling lessons learned to be shared across sectors.
The government also confirmed that the AI Security Institute has resumed testing frontier AI models to identify emerging risks and support the development of appropriate safeguards. Looking ahead, ministers highlighted the potential for the UK to expand its expertise in AI verification, an emerging discipline focused on ensuring AI systems operate safely, securely and in compliance with legal and regulatory requirements.
Industry experts have broadly welcomed the announcements, highlighting the importance of effective oversight, transparency, incident reporting and maintaining human control over increasingly capable AI systems. Security leaders have also emphasised the need for organisations to monitor AI activity closely and establish mechanisms to contain or disable systems should they behave unexpectedly.
What Organisations Should Do Now
While government initiatives continue to develop, organisations can already take practical steps to reduce both traditional cyber risks and emerging AI-enabled threats by following established NCSC guidance.
Key recommendations include:
Enable Multi-Factor Authentication (MFA) across all business-critical services.
Apply the principle of least privilege, ensuring users only have access to systems required for their role.
Maintain effective vulnerability management and patching programmes to reduce exposure to known security flaws.
Implement strong monitoring and logging capabilities to detect suspicious or automated activity quickly.
Train staff to recognise AI-enhanced phishing and social engineering attacks, which are becoming increasingly convincing.
Develop and regularly test incident response plans, including clear escalation procedures and recovery processes.
Maintain secure, tested backups to support rapid recovery from cyber incidents.
Assess third-party suppliers and AI service providers to ensure appropriate security controls and governance arrangements are in place.
