OWASP AI Maturity Assessment
With the growing interest and adoption of AI technologies, it’s critical to establish a framework that organizations can use to measure and enhance their AI maturity levels.
In recent months, several AI Maturity Models have emerged, including the MITRE AI Framework, which highlights the need for structured AI assessments. Building on this momentum, we are developing the OWASP AI Maturity Assessment (AIMA), using the Software Assurance Maturity Model (SAMM) as a foundation.
The AI Maturity Assessment (AIMA) project goal is to empower organizations to navigate the complexities of artificial intelligence by providing a structured framework for making informed decisions about acquiring or developing AI systems. As AI continues to revolutionize industries, organizations face critical decisions about integrating these technologies responsibly. AIMA helps them evaluate AI systems’ alignment with ethical principles, security standards, and operational goals while mitigating risks and ensuring long-term sustainability.
By bridging the gap between high-level AI principles and actionable implementation strategies, AIMA ensures that organizations not only adopt AI systems that align with their strategic objectives but also foster trust and accountability in their AI initiatives.
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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 systems’ 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.
Road Map
Phase 1: Initial Draft and Community Engagement (Jan-Feb 2025)
- Set up a dedicated team to support the development and promotion of AIMA.
- Launch team engagement initiatives to gather input and foster brainstorming sessions, driving collective feedback on the initial draft.
- Publish the first draft of the core project framework. This will outline the vision, mission, and foundational structure of AIMA.
Phase 2: Framework Development and Pilot Testing (March-May 2025)
- Refine the initial draft based on community feedback, and develop a more detailed framework covering the key areas of AI Governance.
- Initiate pilot testing with a selection of organizations to validate the framework’s effectiveness and gather real-world insights.
- Expand community outreach to build partnerships and secure contributions from industry experts.
Phase 3: Presentation and Outreach at OWASP Conferences (June 2025)
- Finalize the initial version of the AIMA framework, incorporating feedback and insights from pilot testing.
- Present the AIMA framework at OWASP Conferences to reach a broader audience, share findings, and gather further input.
- Host workshops and panel discussions at the conferences to engage with security professionals, AI practitioners, and stakeholders, promoting broader adoption and community involvement.
Start Contributing
The OWASP projects are an open source effort, and we enthusiastically welcome all forms of contributions and feedback.
- 📥 Send your suggestion, propose your concepts to the project leader.
- 👋 Join OWASP in our Slack workspace.
- Start contributing Here