AI Security Gap Analysis

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AI Security Gap Analysis - QL Security The AI Security Gap Analysis is a fixed-scope assessment of an organisation's AI Security posture, delivered by QL Security, a UK-based AI Security specialist partner. It suits organisations that need to understand their position quickly, whether responding to customer security questionnaires, preparing for board scrutiny or establishing a baseline before AI adoption accelerates. The assessment runs over 2-4 weeks in four phases: document review, stakeholder interviews, technical assessment and gap analysis with roadmap development. It covers nine domains including AI scope (with shadow AI discovery), policies, processes, technical controls, governance and the regulatory environment. Each domain is scored on a 1-5 maturity scale with a confidence indicator recording whether the score rests on tested evidence, reviewed documentation, stakeholder assertion or inference. Controls are validated technically rather than taken from policy documents alone. Findings map to 14+ frameworks and regulations including ISO 42001, NIST AI RMF, the EU AI Act, UK GDPR and the OWASP AI Top 10. The assessment addresses AI-specific risks such as data leakage through prompts, unsanctioned AI tool usage, model vulnerabilities and governance gaps. Deliverables are an AI Security Scorecard showing maturity across all domains, an inventory of AI usage, a policy gap review, a roadmap prioritised by risk and effort, and an executive summary written in business terms for board or audit committee use. Recommendations account for organisational context, resource constraints and dependencies. Pricing is fixed and known upfront. Clients can act on the roadmap independently or engage QL Security for follow-on implementation projects or ongoing governance programmes; there is no obligation to proceed.