Procurement

Third-Party AI Dependency Requires Rigorous Risk Management

HM Treasury's move to designate AI providers as UK critical third parties, a German court ruling that made a chatbot's words the company's legal liability, and the Character.AI/Google settlement all show the same pattern: vendor AI risk is now the deploying organisation's problem, not the vendor's. Here's what boards and risk teams need to check before the next case names them instead.

Why Over-Reliance on Vendor AI Assurances Puts Your Organisation at Risk

Deloitte's $290,000 government report scandal, AICD's warning on AI vendor concentration risk, and the UK's new Critical Third Parties regime all expose the same gap: accountability for AI-enabled outcomes can't be outsourced to the vendor that built the tool. Here's what risk and governance teams should check before relying on vendor AI assurances.

AI Vendor Assurances Alone Don’t Cut It: A Risk Management Wake-Up Call

APRA's April 2026 letter to industry and ASIC's Report 798 both warn that boards are leaning on AI vendor assurances instead of independently verifying them. Here is what Australian organisations should be checking before they trust the compliance pack.

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.

Leveraging AI risk in third-party relationships the right way

Third-party vendors increasingly embed AI into their services, yet many organisations rely too heavily on vendor assurances without independent verification. Effective AI risk management demands clear ownership, thorough evidence review, and ongoing oversight to meet governance and regulatory expectations.

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