The OWASP AI Maturity Assessment (AIMA) provides a structured framework designed to help organizations evaluate and improve the security, trustworthiness, and compliance of their AI systems. It is organized into eight core domains spanning the entire AI lifecycle: Responsible AI (ethical values, transparency, fairness), Governance (strategy, policies, compliance), Data Management (quality, governance, accountability), Privacy (minimization, user control), Design (threat modeling, secure architecture), Implementation (secure build and deployment), Verification (testing, validation), and Operations (monitoring, incident response). Each domain features three maturity levels, from ad-hoc practices to continuous, optimized processes, and is divided into two streams: “Create & Promote” (embedding practices) and “Measure & Improve” (monitoring and refinement). The assessment includes detailed worksheets and scoring methods for self-assessment or external audits, addressing AI-specific risks like opacity, data poisoning, and adversarial threats to guide responsible AI integration and governance effectively across various industries and roles.
Publication's URL
https://owasp.org/www-project-ai-maturity-assessment/Additional documents on this topic
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