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GRC teams are the operational layer translating AI regulatory expectations into controls, policies, and audit trails. The work is doable, but it needs the right framework.
For: GRC managers, compliance officers, operational risk teams, second line of defence
For governance, risk, and compliance teams, AI is the fastest-evolving risk category in the operational risk portfolio. The work is rarely conceptual, most GRC teams understand risk management as a discipline. The challenge is keeping pace with regulatory developments, maintaining accurate AI inventories, integrating AI controls with existing frameworks (CPS 230, ISO 27001, ISO 31000), and producing reporting that satisfies internal audit, external assurance, and regulator inspection. AIRiskAware's GRC coverage is designed for the operational practitioner: structured frameworks, control mappings, audit-ready language, and primary-source verification.
The substantive AI governance responsibilities that fall to this role under current Australian and global expectations.
Curated coverage selected for this role, frameworks, regulatory developments, and operational guidance you can act on.
The structure, mandatory elements, and language for an AI policy that satisfies regulators and internal audit.
A complete checklist mapped to Australian, EU, US, and APAC obligations.
The questions to ask, evidence to obtain, and contract terms to require.
Audit methodology for AI systems, what assurance teams actually do.
Incident management procedures adapted for AI-specific failure modes.
A five-stage maturity model to benchmark and improve AI governance capability.
The four-phase procurement framework for enterprise AI vendor engagement.
A 40+ criteria scorecard for quantified vendor comparison.
How to buy from early-stage AI vendors without taking disproportionate risk.
The due diligence warning signs that should stop procurement cold.
The regulatory frameworks, standards, and guidance documents most relevant to this role.
AI Management System, the certifiable standard for AI governance.
AI Risk Management, guidance integrated with ISO 31000.
Operational resilience standard, the procedural foundation for integrated AI assurance.
US framework with detailed Govern, Map, Measure, Manage functions.
Policy templates, control libraries, vendor assessment frameworks, audit checklists.
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