NCSC Publishes Guidance on Managing Shadow AI Security Risks

The National Cyber Security Centre has published new guidance explaining the security challenges created when staff use unapproved AI tools in the workplace. The blog post, published on 7 September 2026, explains that employees often turn to consumer AI services because they are faster, easier to use or more capable than the tools their organisation has formally approved. The NCSC highlights that this creates data leakage risk, introduces unvetted third-party processing, and makes it difficult for security teams to understand where sensitive information is being shared or stored.

Why this matters for UK organisations

For UK businesses, this reflects a familiar challenge that has existed with consumer file sharing, messaging apps and collaboration tools for years, now extended into generative AI. The operational difficulty is that blocking access rarely works in practice if the underlying business need remains unmet. Staff will find workarounds, use personal devices or simply work less efficiently. The NCSC's guidance emphasises understanding why people are using unapproved tools in the first place, then addressing those gaps through clearer policy, better-supported alternatives and proportionate controls that balance productivity with data protection. This is particularly relevant for organisations handling sensitive data, operating in regulated sectors, or managing intellectual property where uncontrolled AI use could create compliance, contractual or competitive risk.

What to review

Consider whether your organisation has a clear and realistic position on AI tool use, and whether that position is actually being followed in practice. The first step for many UK businesses is simply understanding what is already being used across the organisation, then working out whether the tools you have approved are genuinely meeting the needs that are driving people towards consumer alternatives. Review whether your data classification, acceptable use policies and staff guidance reflect the reality of how AI tools are being used, and whether you have practical controls in place to manage the risks without creating friction that pushes users further into the shadows. Consider whether responsibility for AI governance sits clearly with a named individual or team, and whether that ownership includes regular review of what is being used and why.

Source: NCSC UK