Summary
- The NCSC has explicitly brought unapproved AI services into its existing shadow-IT risk model.
- Shadow AI can move organisational information beyond approved supplier, access, logging, and data-governance controls.
- The agency says understanding why staff bypass sanctioned systems is important to reducing unmanaged use.
The UK’s National Cyber Security Centre has warned that uncontrolled use of artificial intelligence tools can expose organisational information and create governance blind spots as employees adopt AI services outside approved technology processes.
The National Cyber Security Centre published new guidance on 7 September describing the risks of “shadow AI” — AI tools and services used without the knowledge or approval of the organisation responsible for the systems and information involved.
The agency places AI within the broader shadow-IT problem, alongside personal cloud services, unmanaged software, and other technology introduced outside normal procurement and security governance.
The central issue is visibility. An organisation cannot confidently assess where information is processed, which supplier handles it, how long it is retained, or which access controls apply when employees are using services that have never been reviewed or recorded.
AI can expand that exposure because many tools encourage users to paste text, upload documents, connect cloud accounts, or grant access to mailboxes, meetings, shared drives, developer environments, and other business systems.
The risk becomes more pronounced as products move from generating content to taking actions. An unapproved chatbot with no system permissions presents one level of exposure; an agent with access to email, repositories, business applications, or cloud storage can inherit a much broader operational reach.
The NCSC’s approach does not treat all shadow technology as deliberate misconduct. Staff may adopt unofficial tools because approved systems do not provide required functionality, procurement moves too slowly, or internal processes create friction around legitimate work.
That creates a governance problem rather than a purely disciplinary one. A prohibition can reduce formally approved use without eliminating the demand that caused employees to seek another tool. Activity may instead move further outside organisational visibility.
AI adoption also crosses several control functions. Cybersecurity teams may focus on access permissions and data leakage, while privacy, legal, procurement, compliance, and information-governance functions need to understand supplier terms, processing locations, retention, and the treatment of customer inputs.
A single AI service can also conceal a longer supply chain. Productivity applications may depend on external model providers, cloud hosting, plugins, data-processing services, and integration platforms. An employee selecting one application can therefore introduce several external processing relationships.
Those dependencies become harder to assess when adoption takes place at individual-user level rather than through a formal supplier review.
The UK is simultaneously encouraging organisations to increase use of artificial intelligence while established obligations around personal data, commercial confidentiality, intellectual property, and regulated information continue to apply. Faster AI adoption does not suspend those controls.
Shadow AI extends a familiar asset-management problem into a technology category that can be adopted with unusually little friction. A browser tab, extension, meeting assistant, coding service, or consumer account may be enough to move business information into another provider’s environment.
The NCSC’s guidance therefore places discovery and organisational behaviour alongside technical controls. Understanding which services employees use, what information they provide to them, and why approved alternatives are being bypassed gives organisations a better view of the risk than assuming an AI policy alone will determine actual practice.
As agentic systems acquire broader permissions, that visibility gap can become more consequential. An undocumented application no longer only processes information; it may also be able to act on the organisation’s behalf using access granted by an employee.
