AI-CRRQ™ is being built with the input of senior practitioners — cybersecurity executives, GRC leaders, and board-level advisors who have operated in the environments this methodology was designed to serve.
A cyber survivability measurement model is only as credible as the practitioners who have stress-tested it against real enterprise conditions. The Advisory Council ensures AI-CRRQ™ stays grounded in operational reality — not just theoretical frameworks.
Advisors stress-test the Survival Index™ scoring model against environments they have actually operated in — financial services, healthcare, critical infrastructure, and regulated enterprise.
Senior practitioners ensure the framework speaks the language regulators and boards actually use — NYDFS, SEC, DORA, FFIEC — and that survivability evidence is structured for real examination environments.
Every sector has specific threat profiles and recovery realities. Advisors ensure AI-CRRQ™ produces actionable intelligence — not generic risk scores — for the environments that matter most.
Each advisory seat represents a specific domain of expertise. Founding council members shape the methodology, validate it against real enterprise environments, and are recognized as inaugural contributors to the AI-CRRQ™ standard.
Senior cybersecurity executive with direct experience leading security programs at a regulated financial institution. Familiar with NYDFS, FFIEC, or SEC cyber disclosure requirements at the operational level.
GRC practitioner or regulatory affairs leader with hands-on experience translating cybersecurity risk into compliance evidence. Deep familiarity with audit committee reporting and regulatory examination preparation.
Security executive with leadership experience in healthcare systems, utilities, or critical infrastructure. Understands operational continuity stakes where cyber disruption extends beyond financial impact.
Practitioner with applied expertise in AI security, model risk management, or emerging technology governance. Experience with AI-enabled threat vectors, model governance frameworks, or LLM security in enterprise environments.
Executive with board-level experience presenting or advising on cyber risk — board director, audit committee member, or C-suite leader with direct board engagement responsibility.
Practitioner with deep hands-on experience in cyber incident response, crisis management, or business continuity. Has led response to real cyber events at enterprise scale.
Advisory relationships are reciprocal. Founding council members contribute their expertise and receive meaningful recognition and access in return.
Founding advisors are named and credited on AICRRQ.com, in the AI-CRRQ™ whitepaper, and in executive briefing materials — establishing their contribution to the methodology on the public record.
Advisors receive advance access to new AI-CRRQ™ scoring developments, sector-specific calibrations, and research findings before public release.
Invitation to exclusive senior practitioner roundtables focused on AI risk, cyber survivability, and board-level risk governance — structured as peer dialogue, not vendor presentations.
Founding advisors receive a complimentary AI-CRRQ™ Executive Survivability Assessment for their organization — a structured findings brief delivered by Alim Abdul personally.
As the AI-CRRQ™ dataset grows, founding advisors receive sector-specific survivability benchmark data — comparative intelligence unavailable anywhere else.
Structured around your schedule — two to four hours per quarter. No standing meetings, no administrative burden. Contribution on your terms, at your discretion.
Whether you are a senior practitioner interested in an advisory role, or an organization interested in a strategic partnership — we welcome the conversation.
We are selectively engaging:
Senior cybersecurity executives, GRC leaders, board directors, and practitioner experts who want to shape the AI-CRRQ™ methodology and be recognized as founding contributors.
Managed security and consulting firms interested in licensing or embedding the AI-CRRQ™ Survival Index™ methodology into their client advisory and assessment practices.
Law firms, cyber insurance carriers, and risk advisory practices interested in integrating survivability scoring into client risk evaluation and coverage frameworks.
Academic institutions and research organizations interested in collaborating on empirical validation of the AI-CRRQ™ methodology against real-world cyber incident outcome data.
All inquiries reviewed personally by Alim Abdul. Response within 2–3 business days.
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Book a 30-minute call with Alim Abdul directly. No agenda, no pitch — just a peer conversation about where your expertise might contribute.