Operational resilience

When National Alerts Miss Local Needs: Queensland’s Opt-Out from AusAlert

Queensland opted out of AusAlert this bushfire season despite a 94% national test success rate. This isn't about whether that call was right — it's about the resilience discipline it illustrates: weighing your own specific variables today and making a definitive decision ahead of the event that will test it.

Why AI Risk Management Must Prioritise Business-Led Accountability in Third-Party AI Use

When Air Canada's chatbot invented a bereavement discount, a Canadian tribunal made the airline pay $812.02 for it. New data from the Cyber Risk Institute's Treasury-backed AI framework and Ncontracts' 2026 Third-Party Risk Management Survey show why every organisation using vendor AI needs the same accountability before the mistake is theirs.

Beyond Model Risk: Managing AI Risks Embedded in Complex Vendor Ecosystems

Three real 2026 outages — AWS's cascading Middle East failure, Microsoft Copilot's five-hour blackout, and Claude's multi-model cascade — show why AI risk management can't stop at the vendor you signed with. With EU AI Act deployer obligations enforceable from August 2026 and Gartner naming \u201cfourth-party\u201d AI risk directly, boards need to map the AI hiding inside their vendors' vendors.

How to Avoid AI Risk Bottlenecks by Defining Clear Ownership and Evidence Standards

Unclear ownership and weak third-party evidence can stall AI initiatives for months. This article explains why business-led accountability and structured evidence checklists are critical to smooth AI risk management and faster decision-making.

Why Relying Solely on Vendor AI Assurances Creates Hidden Risks for Your Organisation

Germany's data regulator fined Vodafone €45 million partly for failing to vet a third-party partner, a 2026 DataGrail report found 64% of AI vendors hide their subprocessors, and a German court has ruled companies — not their AI vendors — are liable when the tool gets it wrong. Three real 2026 examples show why vendor assurances can't substitute for your own verification.

AI Vendor Oversight Is Becoming a Competitive Edge — Here’s How to Get There First

The UK's new Critical Third Parties regime — covering AWS, Microsoft, Google Cloud and Oracle — signals that strong AI vendor oversight is becoming the new baseline for trust. Organisations that build this capability now, ahead of the curve, stand to gain faster vendor decisions, stronger customer confidence and far fewer surprises.

Using AI Risk Management to Accelerate Innovation

New Diligent Institute / Governance Institute of Australia data shows 61% of Australian boards restrict employee AI use while only 13% have an AI-literate director — proof that restriction and real governance are pulling apart. NIST's expanding AI Risk Management Framework and the EU AI Act's 2 August 2026 third-party accountability deadline show how structured, evidence-based workflows are what actually let AI adoption move faster, safely.

APRA’s CPS 230 Tweaks: Small Amendment, Big Governance Signal

APRA has released final targeted amendments to CPS 230 Operational Risk Management. The item is current and sits within APRA’s prudential framework, so boards and risk teams should treat it as a live governance and…

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