Cyber insurance experts at SIRC 2026 warn AI-driven attacks could bring a wave of losses over 18 months

If AI shortens the gap between vulnerability disclosure and exploitation, cyber underwriters and reinsurers must revisit accumulation and contagion assumptions before losses force the issue. Carriers should test portfolios for concentration in shared software and cloud dependencies and tighten patch-hygiene requirements in policy wording. Data centre and AI infrastructure dependency is the next exposure class to model.

What Happened

Insurance Asia News reports that leading cyber insurance experts warned the next 18 months is likely to see a wave of cyberattacks as criminals increasingly use AI to exploit vulnerabilities. The report comes from the SIRC 2026 event in Singapore. A separate session summary cited Lloyd's APMEA CEO Emma Loynes as seeing data centre and AI infrastructure dependencies as the next underwriting challenge.

Why It Matters

If AI shortens the gap between vulnerability disclosure and exploitation, cyber underwriters and reinsurers must revisit accumulation and contagion assumptions before losses force the issue. Carriers should test portfolios for concentration in shared software and cloud dependencies and tighten patch-hygiene requirements in policy wording. Data centre and AI infrastructure dependency is the next exposure class to model.

Sources

• Insurance Asia News (opens in a new tab): Insurers brace for cyber 'contagion' as AI collapses attack window (2026-11-09)

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Key Terms

• AI data centre: An AI data centre is a facility built or adapted to run large clusters of AI accelerators, with far higher power density and cooling needs...

Filed under Financial Markets, Infrastructure, Cybersecurity and AI Threats, AI in Insurance and Reinsurance, Data Centres and Compute, Cyber insurance market.

This story is part of the Laurenceo Intelligence briefing for 9 November 2026, a daily sourced briefing on AI, technology and enterprise risk published in Bermuda by Laurenceo, founded by Jorai Laurenceo. It is produced by an automated research pipeline and checked before publication; how this is made. General information only, not legal, regulatory or financial advice.