AI Governance Library

A Practical Guide for Technical Leaders: AI Governance

Effective AI governance, however, is not merely about placing limits on models; it is about ensuring the integrity, accountability, and security of the data ecosystems that power them.
A Practical Guide for Technical Leaders: AI Governance

⚡ Quick Summary

Published by the ISACA Sydney Chapter Special Interest Group, this practical guide offers a comprehensive operational roadmap tailored for technical and security leaders—such as Chief Technology Officers (CTOs) and Chief Information Security Officers (CISOs)—operating within small to medium-sized enterprises (SMEs). Recognising that SMEs often face resource constraints when adopting artificial intelligence, the guide reframes technical vulnerabilities into concrete business impacts, positioning the technical leader in two key roles: Translator and Architect. It establishes a foundational governance framework across the complete AI lifecycle, integrates an operational RACI matrix, provides a tactical 90-day onboarding playbook, and sets clear protocols for AI supply chain procurement, vendor due diligence, and AI Bills of Materials (AI BOMs).

🧩 What's Covered

The guide provides actionable blueprints spanning strategy, execution, and risk mitigation:

  • The Baker’s Dozen of AI Risks: Detailed examination and concrete treatment controls for thirteen core AI risks, including sensitive data leakage, privacy violations under GDPR and the Australian Privacy Act 1988, algorithmic bias, model hallucinations and prompt engineering, model degradation and drift, shadow AI discovery via Cloud Access Security Brokers (CASBs), copyright infringement, vendor lock-in, excessive complexity, adversarial attacks (prompt injection, data poisoning), data sovereignty, and model theft via extraction attacks.
  • AI Lifecycle Risk Management: Structured risk analysis questions and mitigation guardrails aligned with ISO/IEC 5338:2023 and ISO/IEC 22989:2022 across six lifecycle phases: Inception & Strategy, Design/Procurement, Verification & Validation, Deployment, Operation & Monitoring, and Secure Retirement/Decommissioning.
  • Accountability & RACI Framework: A clear RACI matrix assigning roles across Senior Management, CTO, Legal, Chief Risk Officer, CISO, and Business teams for ten critical governance activities.
  • 90-Day Implementation Handbook: A phased execution guide for deployers structured into Month 1 (Assess & Discover), Month 2 (Build the Foundation), and Month 3 (Implement & Enforce technical controls, single sign-on, and DLP).
  • AI Supply Chain & Procurement: In-depth vendor due diligence questionnaires, mandatory AI Bill of Materials (AI BOM) requirements, and crucial contractual safeguards addressing training data restrictions, algorithmic disgorgement, and indemnification.
  • Real-World Case Studies: Practical breakdowns of landmark AI incidents including the Air Canada chatbot tribunal ruling, Chevrolet dealer prompt injection, Amazon resume screening bias, Mobley v. Workday hiring discrimination litigation, Clearview AI regulatory enforcement, and Samsung source code leaks.
  • STRIDE Threat Model Mapping: Explicit application of STRIDE threat modeling categories to AI-specific assets like agents, APIs, pipelines, and prompt interfaces.

💡 Why it matters?

While enterprise AI adoption has exploded, an estimated 95% of AI projects fail to deliver measurable returns, often derailed by governance blind spots, regulatory complexity, and operational friction. This guide matters because it bridges the chasm between high-level ethical principles and granular technical controls. By delivering concrete procurement clauses, technical mitigation strategies, and an explicit division of deployer versus developer responsibilities, it equips SME leaders to build defensible, trustworthy AI systems without analysis paralysis.

❓ What's Missing

The publication is heavily anchored around deployer scenarios and SME environments; consequently, technical leaders building foundational or frontier foundation models from scratch will find fewer deep-dive engineering blueprints for pre-training architecture safety. Additionally, while the guide thoroughly addresses EU AI Act and Australian regulatory touchpoints, detailed operational mappings to other specific regional regimes (such as US state-level privacy mandates or Asian AI governance frameworks) are left for external reference.

👥 Best For

Chief Information Security Officers (CISOs), Chief Technology Officers (CTOs), AI Risk Managers, Data Protection Officers, Procurement Specialists, and IT leaders tasked with establishing AI governance, vendor diligence, and operational security guardrails in enterprise environments.

📄 Source Details

Authored by the ISACA Sydney Chapter Special Interest Group (SIG) Stream 02 (AI Governance, Risk & Ethical Considerations), led by Varun Pant with co-authors Aftab Rizvi, PhD, Asaf Ahmad, Emile Ghadiminejad, George Sarandrea, Julian Petrich, and Suzanne Theron. Published in 2025.

📝 Thanks to

Special thanks to the ISACA Sydney Chapter leadership team (President Chirag Joshi, Coordinators Muralee Krishnan and Shalbin Samuel), peer reviewers from Stream 01 led by Wilson Chiu, and industry reviewers across the ISACA Melbourne and Auckland chapters.

About the author
Jakub Szarmach

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