OWASP AI Maturity Assessment
The OWASP AI Maturity Assessment (AIMA) helps organizations assess, guide, and improve their use of Artificial Intelligence. As AI becomes central to modern software and decision-making, AIMA provides a practical, structured approach for ensuring responsible, secure, and effective AI integration.
AIMA supports organizations in evaluating how well their AI systems align with strategic goals, ethical principles, and operational needs. The model spans five core domains: Strategy, Design, Implementation, Operations, and Governance. Each domain includes actionable maturity levels to guide adoption and improvement.
Built as a community-driven OWASP project, AIMA draws on established practices in software assurance while addressing the unique challenges posed by AIโsuch as explainability, data risks, and adversarial threats.
Download V1 (PDF + Toolkit)
Get Involved
We welcome contributions and feedback!
- Give Feedback via GitHub Issues
- Explore the raw Source Content
- Join the Discussion on Slack (self registration via: https://owasp.org/slack/invite)
Whether youโre a practitioner, auditor, or policymakerโweโd love to hear how youโre using AIMA or where we can improve.
OWASP AIMA Project Goals
The OWASP AI Maturity Assessment (AIMA) project aims to provide organizations with a comprehensive framework to navigate the complexities of artificial intelligence systems responsibly. As AI continues to transform industries, organizations face critical challenges in ensuring that their AI systems are ethical, secure, transparent, and aligned with both organizational goals and societal values.
The following goals outline the key objectives of the AIMA project, emphasizing informed decision-making, risk mitigation, and alignment with global standards. By addressing these areas, AIMA seeks to empower organizations to adopt AI technologies that foster innovation while upholding trust, accountability, and compliance.
- Enable Informed Decision-Making:
- Equip organizations with tools and benchmarks to assess whether to build or buy AI systems based on their unique needs, capabilities, and risk tolerance.
- Provide a clear framework for evaluating AI systemsโ compliance with ethical, legal, and operational standards.
- Promote Ethical and Responsible AI:
- Ensure that AI systems align with societal and organizational values, minimizing risks of bias, discrimination, and harm.
- Translate abstract ethical principles into practical actions that guide AI lifecycle management.
- Enhance Security and Risk Management:
- Mitigate AI-specific vulnerabilities, such as adversarial attacks and data poisoning.
- Implement proactive risk assessment and response mechanisms to ensure operational resilience.
- Foster Transparency and Accountability:
- Encourage explainability and traceability in AI decision-making processes to build stakeholder trust.
- Define clear accountability structures and roles for AI governance.
- Provide a Roadmap for AI Maturity:
- Offer scalable and adaptable guidance for organizations at different stages of AI adoption.
- Support continuous improvement through benchmarking, monitoring, and iterative assessments.
- Align with Global Standards and Best Practices:
- Integrate principles and methodologies from established frameworks such as OWASP SAMM, ISO/IEC AI standards, and ethical AI guidelines (e.g., OECD, EU, IEEE).
- Collaborate with global communities to refine and promote responsible AI practices.
- Support Cross-Disciplinary Collaboration:
- Bring together technical, legal, ethical, and operational experts to address the multifaceted challenges of AI systems.
- Create a collaborative ecosystem for knowledge sharing and best practices.
Roadmap โ Post V1
Version 1.0 of the OWASP AI Maturity Assessment (AIMA) has been released.
Phase 1 - Feedback & Adoption (AugโNov 2025)
- Collect structured feedback via:
- GitHub Issues
- Community surveys
- Pilot interviews and workshops
- Support early adopters and publish case studies
- Improve usability (tooling, examples, cross-references)
- Launch translation efforts (starting with German)
Phase 2 - Planned Enhancements (Winter 2025/26 and beyond)
- Add optional modules and extensions:
- Sector-specific (e.g. healthcare, critical infrastructure)
- Capability-specific (e.g. LLM Security, GenAI-specific mapping)
- Define contribution and review workflows for extensions
- Begin drafting V1.1 (non-breaking improvements)
- Evaluate scope and need for a potential V2 (only if substantial changes are needed)
Phase 3 - Ongoing Initiatives
- Present AIMA at OWASP and external events
- Publish webinars, explainers, and educational material
- Collaborate with standards bodies (e.g. NIST, ENISA, ISO, EU AI Act alignment)
- Encourage academic engagement (e.g. thesis projects, curriculum adoption)
Versioning and Release Cadence
- V1.1: Targeted for Spring 2026 (incremental refinements)
- V2: No target date โ planned only for structural overhauls
- All contributions will follow a documented GitHub-based review process
This roadmap will evolve. To suggest changes or contribute, please visit the GitHub repository or join the AIMA community on Slack (see sidebar for up to date links).
Start Contributing
The OWASP projects are an open source effort, and we enthusiastically welcome all forms of contributions and feedback.
- ๐ฅ Send your suggestion, propose your concepts to the project leaders Mat or Phil.
- ๐ Join the Discussion on Slack workspace.
- โ๏ธ Start contributing here