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Australian Insurers Face Challenges in AI and Cyber Risk Readiness

Assessing the Preparedness Gap in the Insurance Sector

Australian Insurers Face Challenges in AI and Cyber Risk Readiness?w=400

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Recent research indicates that Australian insurers are trailing their global counterparts in preparedness for emerging risks, particularly those associated with artificial intelligence (AI) and cyber threats.
This preparedness gap has reached its widest point in four years, raising concerns about the industry's ability to manage these rapidly evolving challenges.

The study highlights a 6.6% lag in Australian insurers' readiness compared to global peers. This shortfall is significant, considering the accelerating impact of AI and the increasing frequency and sophistication of cyber attacks. The insurance sector's traditional reliance on data and technology makes it particularly vulnerable to such risks.

Cybercrime remains the top risk facing the industry, with technology risk now ranked second, and AI concerns rising sharply to third place. This rapid ascent underscores the urgency for insurers to enhance their risk management strategies and invest in technological capabilities.

Experts emphasise the need for insurers to modernise legacy systems, build resilient data infrastructures, and develop robust cyber defences. By doing so, they can improve operational efficiency, offer faster and more accurate services to customers, and better manage the risks associated with AI and cyber threats.

For tradespeople and small business owners, these developments highlight the importance of choosing insurers that are proactive in addressing emerging risks. Insurers that invest in advanced technologies and demonstrate strong risk management practices are more likely to provide reliable coverage and support in an increasingly digital landscape.

Published:Sunday, 29th Mar 2026
Author: Paige Estritori

Please Note: We do not endorse any specific products or companies. Some content is sourced from third parties, including press releases, and may not be independently verified for accuracy or completeness.

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