For GRC Teams

Governance, Risk, and Compliance Teams

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.

What this role is accountable for

The substantive AI governance responsibilities that fall to this role under current Australian and global expectations.

1AI use case inventory and risk register maintenance
2AI policy framework — acceptable use, data handling, vendor management, model lifecycle
3Integration of AI controls with existing GRC structures (CPS 230, ISO 27001, ISO 31000)
4Control testing and assurance evidence for internal audit and external assurance
5Regulatory mapping — identifying applicable obligations across jurisdictions and sectors
6Third-party AI risk assessment and vendor due diligence
7Incident management procedures adapted for AI-specific failure modes