The Ozkaya AI Governance Framework (AIGF) — Free Download

Original Framework

The Ozkaya AI Governance Framework

A practical, implementation-ready framework for governing AI systems in enterprise and government environments — built from 25+ years of CISO experience and real-world AI deployments.

What Is the AIGF?

The Ozkaya AI Governance Framework (AIGF) is a structured methodology for organisations deploying, managing, and securing artificial intelligence systems. It addresses the governance gap that exists between AI capability and AI accountability — providing CISOs, boards, and technology leaders with a clear, actionable path to responsible AI.

Unlike compliance checklists or theoretical models, the AIGF is designed for practitioners. Every component has been tested in real enterprise environments across financial services, healthcare, government, and critical infrastructure.

The Seven Pillars of the AIGF

01

AI Risk Assessment

Systematic identification and classification of AI-specific risks across the deployment lifecycle.

02

Governance Structure

Roles, responsibilities, and accountability frameworks for AI oversight at board and operational levels.

03

Security Controls

Technical and procedural controls for securing AI models, training data, and inference pipelines.

04

Compliance Mapping

Alignment with EU AI Act, NIST AI RMF, ISO 42001, and sector-specific AI regulations.

05

Continuous Monitoring

Metrics, KPIs, and monitoring protocols for ongoing AI governance assurance.

06

Human-AI Collaboration & Oversight

Establishing clear protocols for human oversight, accountability, and decision authority over AI systems. This pillar ensures that humans remain meaningfully in control of consequential AI decisions — particularly in regulated industries, law enforcement, healthcare, and financial services. It defines escalation paths, override mechanisms, and the responsibilities of AI operators and oversight teams.

07

Regulatory Alignment & Future-Proofing

Mapping AI deployments to the rapidly evolving global regulatory landscape — including the EU AI Act, NIST AI RMF, ISO/IEC 42001, and sector-specific regulations for financial services, healthcare, and critical infrastructure. This pillar ensures that governance programmes are built to adapt as regulations evolve, rather than requiring full redesign with each new compliance requirement. It includes horizon-scanning, regulatory change management, and board-level reporting on compliance posture.

Download the AIGF — Free

Get the full framework document including implementation guidance, templates, and compliance mapping tables.

📄 Full PDF Framework 📋 Implementation Templates 🗺️ Compliance Mapping ✅ Audit Checklists

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    Who Is This Framework For?

    🏢

    CISOs & Security Leaders

    Building or reviewing your organisation’s AI security posture and governance programme.

    🏛️

    Boards & Executive Teams

    Understanding AI risk at the governance level and fulfilling fiduciary duties around AI deployment.

    ⚖️

    Compliance & Risk Teams

    Mapping AI deployments to EU AI Act, NIST AI RMF, ISO 42001, and other emerging regulations.

    🏥

    Regulated Industries

    Financial services, healthcare, energy, and government organisations with high-stakes AI deployments.

    About the Author

    Dr. Erdal Ozkaya is a Strategic CISO, Microsoft MVP (17×), NATO Advisor, and author of 26 cybersecurity books. He developed the AIGF from direct experience securing AI systems in enterprise and government environments across 40+ countries. The framework reflects real-world implementation challenges, not theoretical models.

    Learn more about Dr. Ozkaya →
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