Artificial intelligence
Artificial intelligence (AI) is arguably the biggest emerging risk management issue and transgresses all lines of insurance. Organizations are defining their AI strategies while at the same time considering the advantages and risks of home-grown versus SaaS solutions for operations. Broadly, AI represents both an amplification of traditional cyber risk and the introduction of novel regulatory and liability exposures.
The introduction of AI amplifies cyber risk because AI allows bad actors to automate processes that were previously manual, allowing them to identify vulnerabilities and deploy cyber attacks at greater speed and efficiency. Since AI exclusions have not been deployed regularly yet on cyber policies, cyber insurance should be well posited to respond to this amplification of exposure. This is largely also true for shareholder losses arising from “AI washing” (e.g., alleged exaggeration of AI technologies deployed by companies in public filings). Since D&O policies typically do not contain AI exclusions, securities claims alleging AI washing could also be covered as an amplification of D&O risk.
Meanwhile, AI also introduces the possibility of new and potentially uncovered regulatory risks. Certain provisions of the EU AI Act are expected to take effect in 2026, with potential fines of up to 35 million euros or 7% of global turnover, whichever is greater. Because violations may arise absent a cyber event or data breach, resulting losses may fall outside the scope of traditional cyber insurance coverage. Specifically, the EU AI Act places prohibitions on prohibited AI practices (e.g., social scoring, manipulative AI, etc.) and high-risk AI models (e.g., education, employment or biometric identification). Although a comparable federal U.S. law has not been passed yet, several states (Utah, Colorado and California) have passed similar AI laws. Since a violation of the EU AI Act may not result from a cyber attack or breach of sensitive data, this exposure may fall outside the purview of cyber policy.
As AI risk continues to evolve in 2026, organizations must adopt a proactive approach to AI governance. This involves the development and implementation of comprehensive AI security and governance programs. Emphasizing regulatory compliance, data governance, and addressing the risks associated with "shadow AI"—where employees utilize unsanctioned AI tools in business operations—will be critical to safeguarding the enterprise.
Effective AI governance should also be closely aligned with robust third-party and vendor management programs. Organizations need to ensure that any outsourced business processes are subject to the same level of scrutiny and control as internal operations. This integration helps mitigate risks arising from external dependencies and ensures consistency in managing AI-related exposures.
Additionally, ongoing cyber training for employees is essential in maintaining organizational awareness and preparedness against evolving AI-amplified cyber threats. Targeted phishing simulations and resilience tabletop exercises play a vital role in educating staff about attacker tactics, techniques, and procedures. These initiatives foster a culture of vigilance and enhance the organization's ability to respond effectively to cyber incidents.
Predictions for 2026
Ransomware, vendor risk, privacy risk and AI all shaped the cyber insurance market in distinct ways in 2025. Looking forward, we’re pleased to share the following predictions for 2026:
Ransomware will remain the dominant driver of cyber insurance underwriting and limit adequacy considerations: While improved controls have reduced business interruption duration, the sheer severity of large-scale events — often exceeding $1 billion — will increasingly challenge traditional limit assumptions. This trend underscores the importance of supporting data and analytics to support cyber insurance purchasing decisions.
Vendor risks and the increased reliance on a core group of technology providers will continue to stress-test cyber insurance policies: Fortunately, most outages in 2025 were rectified quickly in less than a day. An incident that lasts several days or weeks could result in losses with exponentially higher billion-dollar impacts. In the short term, we don’t expect any material impact to cyber insurer appetite for system failure coverage given the current state of competition chasing cyber premiums.
Underwriting privacy and wonderful collection risk will be increasingly challenging for cyber insurers given that companies are unlikely to stop using pixel tracking technologies and continue to aggregate data: Where privacy liability attaches continues to be a fine line and a complex legal minefield. Some markets have started to curtail previous coverage expansions for wrongful collection, but the current favorable marketplace should allow buyers with favorable loss history and privacy controls to find wrongful collection coverage with persistence.
AI presents an amplification of existing cyber risk while at the same time creating new risks: Several novel AI specific insurance solutions have entered the marketplace, but available capacity and buying appetite have been limited so far. This could change with a sizable first time AI loss, which will be an inevitable watershed moment. In the meantime, it will be imperative for buyers to proactively pursue as broad coverage as possible under cyber policies covering the full range of possible AI losses.
Conclusion
Looking over the horizon, a material shift to a hard market is not yet observable. Willis, a WTW business, continues to monitor insurer loss ratios closely, along with reinsurance renewals to proactively forecast market changes. Early 2026 is a ripe opportunity for buyers to release significant coverage expansions at competitive premiums, and a proactive approach to AI governance and cyber resilience will be imperative as the exposure environment continues to evolve.
About Willis Cyber
The Willis Cyber team compromises over 200 cyber specialists globally with broad experience and expertise in cyber insurance broking, incident response leadership and analytics. Additionally, Willis’ Cyber Consultants proactively engage with clients to offer tailored consulting solutions that align cyber risk with business objectives and optimize cyber insurance outcomes. The team places more than $1 billion in global cyber premium every year and has managed over 3700 cyber incidents.