AI Security Maturity Assessment Checklist: 8-Domain Readiness Kit

This kit provides a structured, domain-based checklist for assessing the maturity and security of AI systems. It helps organisations spot gaps, understand risks, and check readiness for compliance across governance, risk management, secure development, access control, data privacy, monitoring, ethics, and supply chain risk.

What is inside:

The five maturity levels: Initial, Managed, Defined, Measured, and Optimized

How to use the checklist: read each question, score from 1 to 5, and record evidence, gaps, and owners

Eight assessment domains:

Governance & Policy – AI security policy, risk ownership, security governance Risk Management – threat modeling, risk assessment, misuse prevention Secure Development – lifecycle security, data integrity, model evaluation Access & Identity Management – role-based access, API authentication, identity logging Data Security & Privacy – anonymisation, secure storage, privacy-preserving AI Monitoring & Incident Response – logging and auditing, drift monitoring, incident response Compliance & Ethics – regulatory alignment, human oversight, transparency and explainability Supply Chain & Third-Party Risk – third-party models, open-source libraries, vendor risk A scoring model from 1 (Initial) to 5 (Optimized)

Space for notes, evidence, and ownership

Who it is for

AI security officers, CISOs, risk managers, compliance teams, data protection officers, AI/ML engineers, and governance leads.

How to use it

Use this checklist as a self-assessment, audit preparation tool, gap analysis worksheet, or maturity roadmap. It supports ISO/IEC 42001, ISO 27001, NIST AI RMF, and EU AI Act readiness, and helps teams prioritise improvements across the AI lifecycle.