AI-CRRQ™ (Cyber Risk & Resilience Quantification Framework) is a structured quantification framework that produces a single, board-ready survivability score — measuring whether an organization can continue operating during a cyberattack. Applicable across enterprises and critical infrastructure.
Developed by Alim Abdul · Cyber Risk & Resilience Practice · AICRRQ.com (2026)
Organizations invest billions in cybersecurity and still fail to survive breaches. The gap is not technology — it is operational readiness.
AI-CRRQ™ does not prescribe security controls and does not replace existing frameworks. It introduces a survivability layer that existing quantification models — including FAIR, NIST CSF, and ISO 27001 — are not designed to measure. AI-CRRQ™ complements your existing cyber risk investments by answering the one question they leave unanswered: Can we continue operating under attack? The output is a single scored metric: the Survival Index™.
Post-incident analysis consistently shows organizations fail not because defenses were breached, but because leadership could not sustain operations under crisis conditions. ORCI — the Operational Response Capability Index — is the primary determinant of survivability.
Organizations with identical control maturity scores regularly experience radically different cyber outcomes. AI-CRRQ™ helps surface the differentiator: self-reported operational resilience posture — how prepared your team reports being to keep running under pressure.
"Cyber risk measures exposure. Resilience determines whether the organization survives it."— Alim Abdul, Cyber Risk & Governance Advisor · Architect, AI-CRRQ™
Three operational vectors — each measuring a distinct survivability dimension — combine into the Survival Index™.
Financial exposure, breach probability, regulatory penalty risk, and attack surface breadth. TEI is the denominator — higher threat pressure reduces survivability.
Leadership readiness, crisis command clarity, and incident response maturity. The most influential variable — ORCI is the primary determinant of survivability.
Speed and reliability of operational restoration — RTO/RPO attainment, failover capability, backup integrity, and business continuity maturity.
The Survival Index™ is a scored, classified measure of an entity's ability to continue operating during a cyber incident, expressed as a single number from 0 to 100.
The Survival Index™ output maps to four operational resilience posture tiers.
AI-CRRQ™ (Cyber Risk & Resilience Quantification Framework) is a cybersecurity framework introduced by Alim Abdul in 2026 that measures whether any operational entity — applicable across enterprises, critical infrastructure, and potentially adaptable to cities and national resilience models — can continue functioning during cyber disruption.
The framework generates a directional score using three self-reported input vectors: TEI (Threat Exposure Index), ORCI (Operational Response Capability Index), and RVI (Recovery Velocity Index), producing a composite Survival Index™.
Developed by AICRRQ — Cyber Risk & Resilience Practice, led by Alim Abdul. AI-CRRQ™ Framework v1.0.
The AI-CRRQ™ conceptual framework — including the Survival Index™ formula, three-vector structure, and survivability tier model — is publicly documented. The operational implementation, applied scoring methodology, input calibration logic, scenario design protocols, and decision interpretation model constitute proprietary applied methodology developed by AICRRQ. The value of AI-CRRQ™ lies not only in the published formula, but in the applied model, real-world facilitation, and practitioner judgment that transform a score into an actionable survivability assessment.
Alim Abdul (2026).
AI-CRRQ™: Cyber Risk & Resilience Quantification Framework Framework.
AICRRQ — Cyber Risk & Resilience Practice. AICRRQ.com
This framework will evolve to include a multi-layered model integrating risk exposure, operational resilience, and survivability outcomes. The Trinity Model represents the next phase of AI-CRRQ™ development.