Contributors
This file recognizes the people who have contributed to the AI IR Overlay™ framework.
Founding Maintainer
- Jacob Ideji (jacobideji.com · LinkedIn): founder, original author, primary decision-maker during the v0.x series. Holds the AI IR Overlay™ and AI IR Overlay Certified™ word marks per GOVERNANCE.md. All 24 framework playbooks (PB01 through PB24), the four framework foundation documents, the three crosswalks, the templates, the schemas, the validator, the reference implementations, the QUICKSTART paths, and the worked example trace back to the AI IR Overlay LinkedIn newsletter series authored by Jacob through 2025 to 2026 (Issues 1 through 24).
Steering Committee
The Steering Committee guides the AI IR Overlay™’s v1.0.0 arc, reviews major release proposals, and shapes how external contributions enter the framework. The founding cohort is currently being seated; the framework’s target is 5 members (Founding Maintainer + 4 external members) per GOVERNANCE.md. Sustained membership above 7 is not anticipated during the v1.x series.
Founding cohort (as of v0.34.0):
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Chukwunenye Amadi (Steering Committee Member, joined at v0.34.0):
Chukwunenye Amadi is a cybersecurity engineer with more than 10 years of experience protecting enterprise applications, cloud services, and production systems.
He currently works as an Application Security Engineer at Amazon Web Services, where he reviews cloud services before launch and works with engineering teams to identify and address security risks early in the development lifecycle. His work includes threat modeling, secure design reviews, security architecture assessments, risk analysis, pentest scoping, and security guidance for large-scale AWS services. He is particularly interested in applying AI and automation to application security workflows, including threat modeling, security design analysis, security review acceleration, security knowledge management, and developer security enablement.
Before AWS, Chukwunenye held cybersecurity leadership and consulting roles across financial services and enterprise environments, with experience in application security, penetration testing, threat intelligence, incident response, and security advisory services.
As a contributor to AI IR Overlay, he is interested in the security challenges introduced by AI systems, autonomous agents, and large-scale cloud platforms. His focus areas include AI security, AI governance, security automation, threat modeling for AI-enabled systems, and practical approaches to securing agentic workflows.
Chukwunenye holds an MSc in Cybersecurity from the University of York and certifications including CISSP, OSCP, GWEB, GCSA and AWS Solutions Architect Associate.
Chukwunenye is participating in and contributing to the AI IR Overlay™ framework in his personal capacity. Nothing in this framework should be construed as an endorsement, statement, or position of his current or former employers, including Amazon Web Services.
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Dr. Willy Takang (Steering Committee Member, joined at v0.35.0):
Dr. Willy Takang is a cybersecurity and infrastructure engineer with expertise in secure systems design, cloud architecture, networking, DevOps, and software engineering. He holds a Doctorate in Computer Science, a Master of Science in Information Security, an MBA, and a Bachelor of Science degree, along with industry certifications including Cisco Certified Network Associate (CCNA), Cisco Certified Design Associate (CCDA), Cisco Certified Design Professional (CCDP), and AWS Certified Solutions Architect – Associate.
His experience spans Linux systems, cloud infrastructure, Kubernetes, containerization, infrastructure automation, Python development, observability, and incident response. Throughout his career, he has designed, deployed, and supported secure enterprise environments while helping organizations improve resilience through automation, modern infrastructure practices, and sound security engineering. Willy is currently a Lead Platform Engineer at Capital One Financial Corporation.
An advocate for open-source collaboration, Willy enjoys contributing practical solutions, technical documentation, and operational guidance that help engineers solve real-world challenges. As a contributor to the AI IR Overlay project, he brings a multidisciplinary perspective combining cybersecurity, infrastructure engineering, cloud architecture, and secure software development to advance practical guidance and resources for AI incident response practitioners.
Dr. Willy Takang is participating in and contributing to the AI IR Overlay™ framework in his personal capacity. Nothing in this framework should be construed as an endorsement, statement, or position of his current or former employers.
External Contributors
None yet. The framework is at the very beginning of its community-contribution arc. Both founding Steering Committee members named above (Chukwunenye Amadi and Dr. Willy Takang) have contribution artifacts in preparation for upcoming v0.34.x / v0.35.x / v0.36.x releases; contributor recognition in this section follows the first-merged-PR discipline described below.
If you would like to contribute, please read CONTRIBUTING.md first. The highest-velocity contribution paths are:
- New playbooks addressing scenarios the current framework does not cover (the 24 shipped playbooks are calibrated against 2026 production AI deployment patterns; the field will evolve)
- Crosswalk extensions to additional standards (ISO/IEC 42001 and EU AI Act crosswalks are explicitly forthcoming; CIS Controls, SOC 2, HIPAA crosswalks are welcome community contributions)
- Reference implementations of the API contracts (the current
reference-impls/evidence_exporter/andreference-impls/kill_switch_demo/ship with stub adapters; vendor-specific implementations are welcome) - Translations of the framework’s core documents (the framework is currently English-only; translations to other languages are welcome where they preserve the framework’s terminology discipline)
- Real-incident anonymized case studies (the framework has not yet been deployed in a documented production AI incident; if you have used the framework in a real response, an anonymized case study contribution is among the most valuable single artifacts you can add)
How recognition works
When an external contributor lands their first merged PR, their name is added to this file under “External Contributors” with their preferred handle, a one-line description of their contribution area, and a link to a representative artifact they have contributed.
The contribution recognition discipline is lightweight and inclusive: every accepted PR (code, documentation, playbook, crosswalk, case study, translation) earns the contributor a place in this file. We do not maintain tiers (no “core contributors” vs “occasional contributors”); we list everyone who has helped.
Special thanks
Several frameworks, standards, and communities have shaped the AI IR Overlay’s intellectual foundation. These are not contributors in the formal sense but are acknowledged:
- NIST (National Institute of Standards and Technology) for NIST AI RMF 1.0, NIST CSF 2.0, NIST SP 800-61 r3, and the broader cybersecurity-framework discipline this overlay extends to AI agents
- OWASP GenAI Security Project for the OWASP Top 10 for Agentic Applications 2026 (ASI01 through ASI10) and the OWASP Top 10 for LLM Applications 2025.1
- ISO/IEC JTC 1/SC 42 for ISO/IEC 42001:2023 (AI management systems) and the broader AI standards work
- The European Union for the EU AI Act (Regulation 2024/1689) and the deployer-obligation framework
- The community of AI security practitioners sharing learnings via conferences, papers, and informal channels through 2025 to 2026
Notes
This file is intentionally short at v0.x. It will grow as external contributions arrive. See GOVERNANCE.md for the maintenance discipline that will govern this file at v1.0 and beyond.
Last revised: 2026-07-09 (v0.35.0: second external Steering Committee member seated; founding cohort now at 2 of 4 target external members).
Source: AI IR Overlay framework, by Jacob Ideji.