Cyber Risk Tops Concerns; Manufacturing Targeted

Why It Matters

Elevated cyber threats and supply‑chain disruptions force insurers to recalibrate risk appetites, while AI exclusions introduce fresh liability considerations that could reshape policy language industry‑wide.

Key Takeaways

• Cyber risk now top underwriting concern for insurers
• Manufacturing firms see 30% rise in ransomware claims
• Iran war disrupts global circuit‑board supply, raising premiums
• New AI exclusions follow adverse court rulings on algorithmic bias
• Premium placements grew 25% for Miller Insurance amid volatility

Pulse Analysis

The insurance sector is confronting an unprecedented wave of cyber risk, as ransomware attacks on corporate networks have more than doubled in the past year. Insurers report flat organic revenue, prompting firms like Brown & Brown to double down on AI‑driven analytics to better price and mitigate these exposures. The heightened focus on cyber underwriting is reflected in tighter policy terms and rising premiums, especially for high‑value manufacturing assets that are increasingly digitized.

Manufacturing, traditionally a low‑profile target, now sits at the epicenter of cyber assaults. The Iran‑Ukraine war has choked the supply of critical circuit boards, inflating the cost of hardware and making production lines more dependent on legacy systems vulnerable to intrusion. As a result, claim frequencies in the sector have surged by roughly 30%, prompting insurers to adjust loss reserves and demand more robust cyber hygiene from policyholders. The ripple effect extends to downstream industries, where delayed shipments and price volatility compound the financial strain.

Parallel to the cyber surge, courts have begun to hold insurers accountable for algorithmic bias and inadequate AI disclosures, sparking a wave of new exclusions. These clauses aim to limit liability for losses stemming from automated decision‑making, a response to high‑profile lawsuits that exposed gaps in existing coverage. Insurers are now balancing the need for innovative AI tools with the imperative to protect against regulatory backlash, a dynamic that will shape policy language and pricing strategies for years to come.