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Risk Management

Good governance is not a burden, it is how leaders succeed.

A practical risk management article using a current source event to test ownership, evidence, controls and maturity.

AI related employee claims are the result of a lack of maturity impacting your employee experience

A practical risk management article using a current source event to test ownership, evidence, controls and maturity.

AI Risk Sits Inside the Services You Procure

The recent ABC reporting on VIQ Solutions is a useful case study for any organisation thinking about AI governance, data risk and third-party services. 30...

Clear Ownership and Tailored Evidence Accelerate AI Adoption

AI initiatives often stall due to unclear ownership and generic vendor assurances. This article explains why business leaders must own AI risks from the start and demand practical, risk-based evidence from third parties to avoid costly delays.

Australians are losing trust in AI and privacy practices

OAIC has published its 2026 Australian Community Attitudes to Privacy Survey, showing rising privacy concern, very low trust in AI and stronger expectations for transparency, fairness and complaint handling.

Closing the Blind Spot: Managing Artificial Intelligence (AI) in Third-Parties

Many organisations unknowingly inherit significant AI risks through third-party technology and vendor services. Without rigorous independent challenge and clear ownership, vendor assurances fall short. Leaders must demand tailored evidence and embed structured AI risk governance that addresses supply chain complexities and local obligations.