Glossary
AI Security Gap Analysis
A structured assessment that maps an organisation's current AI security and governance controls against a target framework, typically ISO 42001, NIST AI RMF or its own risk appetite, then produces a prioritised remediation roadmap.
Term: AI Security Gap Analysis
An AI Security Gap Analysis is a structured assessment that maps an organisation’s current AI security and governance controls against a target framework, typically ISO 42001, NIST AI RMF or its own risk appetite, then produces a prioritised remediation roadmap.
Why it matters
Most mid-sized UK organisations adopt AI faster than they govern it. Tools enter through individual teams, controls lag behind usage and no one holds a clear picture of where the risk sits. A gap analysis gives that picture. It establishes a defensible baseline before a board signs off on AI use or a regulator asks how the organisation manages it.
For regulated sectors including NHS trusts, local authorities and professional services firms, the analysis is the foundation for ISO 42001 certification readiness, EU AI Act preparedness and board-level AI risk reporting. It turns an abstract worry into a sequenced plan with owners and priorities.
How it works in practice
For a mid-sized UK organisation the work typically runs two to four weeks across four stages: inventory of AI systems and data flows, threat mapping, control assessment against the chosen framework and prioritised remediation. The output is a roadmap ranking fixes by risk and effort, so leadership knows what to address first.
Related terms: ISO 42001 and AI governance.
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