iManEdge – AI – ML – Quantum Governance & Security Capability Maturity Model (AI-ML-QT-GS-CMM), Copyright 2025

https://www.imanedge.com/imanedge-advantage/ai-ml-cyber-capability-maturity-model-c2m2

Strategic Analysis of the AI Capability Maturity Model

The control matrix reveals a strong focus on emerging, high-impact threats unique to AI systems. The path to Level 4 (Autonomous) emphasizes self-healing and predictive defense mechanisms.

Key Domains and Standards Alignment

• Core AI Focus: The model successfully prioritizes specialized AI security domains like AI Model Security (Poisoning, IP Protection), AI Model Privacy (Minimization, Inference Attacks), and Generative AI Security (Output Guardrails).
• ISO 42001 Presence: The new ISO/IEC 42001 (AI Management System) is integrated as a foundational requirement across multiple domains, including:
  • Data Integrity (ISO 42001: 6.2.1): Cited for Model Poisoning and RAG Data Integrity.
  • Ethics & Trust (ISO 42001: 6.3.3): Used to anchor Generative AI Guardrails and Human Safety.
  • Privacy (ISO 42001: 6.2.5): Crucial for all AI Model Privacy controls.
• MITRE ATLAS & ATT&CK Mapping: MITRE ATLAS (Threats for AI) is explicitly used to map specific adversarial techniques (e.g., T0003 – Model Poisoning and T0002 – Model Extraction) to corresponding defensive controls, providing actionable threat intelligence for the highest risk items.

Dominant Risk Factors

Risk Metric	Dominant Trend	Impact & Key Controls
Threat Level	HIGH (5 out of 10 controls)	Threats directly impacting model integrity (Poisoning, IP Theft) and human safety/output quality (Generative AI) are deemed the most severe.
Probability	Frequent or Occasional	Model Poisoning and Generative AI Guardrail Evasion are the only Frequent threats, highlighting the active, easy-to-exploit attack surface of model inputs and outputs.
Ease of Exploitation	Very Easy or Requires training and skills	Very Easy threats (Model Poisoning, Generative Guardrail Evasion, Edge AI Protection failures) drive the urgent need for basic (Level 1) defenses.

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Theme of Level 4 Maturity (Autonomous)

The target state for the highest level of maturity (Level 4) is predictive, certified, and self-regulating, moving beyond mere monitoring (Level 2) and compensating controls (Level 3).

Level 4 controls feature:

• Self-Correction: AI-powered adaptive defense (AIM-001) and self-correcting output generation (GEN-001).
• Certification & Audit: External privacy audit certification (AIP-001) and self-enforcing data access rules.
• Predictive Resilience: Real-time, continuous self-healing infrastructure (BCP-001) and predictive safety failure modeling (HCS-001).
• Zero-Trust Extension: Zero-trust architecture extending to model components on the edge (OTI-001).

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Let me know if you’d like to dive deeper into any specific control’s maturity path, or if you need to expand this model to include other domains like Federated Learning Security or Quantum-Safe AI Security.