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 including RTO and 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™ scoring model, 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 in the applied scoring model, real-world facilitation, and practitioner judgment that transform a survivability score into an actionable 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.