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Artificial Intelligence (AI)

How to Navigate AI Risk When Your Vendor Changes the Rules

Third-party AI vendor risk is the widest compliance gap in Australian companies, your vendor's model update is now a regulatory event.

AI Signal Box: a simpler way to think about AI governance

AI is already moving through most organisations. Sometimes it is visible. Sometimes it is hidden inside software, vendor tools, workflows or staff experimentation.

AI Risk Management Starts with Clear Business Ownership

APRA's and ASICs AI governance letters have made one thing clear: named business ownership of AI use cases is now the regulatory minimum. Without it, your organisation is carrying unquantified executive risk.

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.