Simon Glairy is a preeminent figure in the insurance world, recognized for his deep expertise in risk management and the evolving landscape of Insurtech. With a career dedicated to deciphering the intersection of global geopolitics and digital vulnerability, Simon has become a vital voice for carriers navigating the complexities of AI-driven risk assessment. As state-aligned cyber threats grow more sophisticated following recent military escalations, his insights provide a crucial roadmap for insurers attempting to quantify the intangible and secure the global economy against digital fallout.
The following discussion explores the heightened risks posed by state-aligned hacking groups and the tactical shifts necessary for modern underwriting. We delve into the specific vulnerabilities of critical infrastructure, the legal challenges surrounding state-backed exclusion mandates, and the essential stress-testing exercises required to maintain market stability during periods of intense geopolitical volatility.
Military strikes in the Middle East often trigger retaliatory cyber activity from groups like APT33 or MuddyWater. How should insurers distinguish between routine probing and high-stakes state-aligned threats, and what specific metrics indicate a portfolio is nearing a breaking point during such volatility?
The distinction lies in the intent and the sophistication of the digital footprint left behind by these actors. Routine probing is often opportunistic, but when groups like APT33 or MuddyWater are involved, we see a shift toward targeted reconnaissance of industrial control systems and sensitive data repositories. We monitor the velocity of “phishing surges”—similar to the 50% increase in Iran-based hacking attempts reported by Cloudflare in 2020—as a primary indicator of a coordinated campaign. A portfolio nears its breaking point when the concentration of “high-risk” flagged entities, currently sitting at about 12% for large US firms, begins to see concurrent unauthorized access alerts across a single industry vertical. When you see multiple Iran-aligned personas claiming responsibility for disruptions simultaneously, it signals that the risk is no longer theoretical but is moving toward a systemic loss event.
In 2020, retaliatory actions were largely limited to phishing and website defacements, but current connectivity drops in the region suggest more sophisticated operations. What tactical changes must underwriters make to account for this increased volatility, and how does this shift impact the pricing of healthcare and energy policies?
Underwriters can no longer rely on historical data alone; they must incorporate real-time signals, such as the 46% drop in regional internet connectivity observed during recent operations, which often masks the mobilization of offensive cyber tools. We are moving toward “dynamic underwriting” where policy terms for the 119 firms recently classified as high-risk are under constant review based on geopolitical heat maps. For the healthcare and energy sectors, which are primary targets for groups like Fox Kitten, this volatility necessitates a significant risk premium or the introduction of sub-limits for state-aligned disruptions. The goal is to move beyond the “website defacement” mindset of 2020 and price policies for destructive “wiper” malware that can cause permanent data loss and physical equipment failure.
Roughly 12% of large US companies in critical infrastructure are currently flagged as high-risk targets for state-aligned hacking apparatuses. What step-by-step auditing processes should these firms implement immediately, and how can insurers use threat-intelligence-informed analytics to effectively manage these specific exposures?
Firms must immediately move to a “Zero Trust” architecture, beginning with a comprehensive audit of all third-party access points that state actors typically exploit. Step one is the isolation of legacy industrial systems from the public internet, followed by an immediate rotation of all administrative credentials and a 24/7 hunt for dormant “backdoors” that may have been planted months ago. Insurers can support this by deploying threat-intelligence-informed analytics to run “digital twin” simulations of a company’s network, identifying exactly where an APT33-style attack would likely breach the perimeter. By flagging the 975 most vulnerable firms and analyzing their interconnectedness, insurers can provide bespoke recommendations that directly lower the likelihood of a successful state-aligned intrusion.
The global cyber insurance market has reached nearly $17 billion in premiums while navigating complex state-backed exclusion mandates. How do these exclusions hold up against sophisticated, deniable fronts used by state actors, and what legal precedents from past billion-dollar settlements are shaping current policy language?
The challenge of “deniable fronts” is the greatest hurdle for the $16.66 billion cyber insurance market, as attributing an attack to a state actor with legal certainty is notoriously difficult. We look closely at the $1.4 billion Merck settlement following the NotPetya attack, where New Jersey courts ruled that standard war exclusions were insufficient because the attack didn’t fit the traditional definition of “hostilities.” This has forced a massive rewrite of policy language, specifically the Lloyd’s mandates from March 2023, which seek to create a clearer nexus between military actions and digital strikes. Now, policies are being drafted with much more granular definitions of “state-backed” activity, attempting to close the loopholes that previously allowed massive claims to bypass war exclusions.
No retaliatory strike from this specific region has yet breached market-wide catastrophe thresholds, yet individual losses can still reach historic levels. What specific stress-testing exercises should carriers prioritize right now, and how do they balance these catastrophic risks against the daily demands of a competitive market?
Carriers need to prioritize “probabilistic catastrophe modeling” that simulates a multi-sector outage triggered by a single sophisticated actor. These exercises should focus on “extreme but plausible” scenarios, such as a simultaneous ransomware attack on ten major energy providers, which could easily eclipse individual losses seen in previous years. Balancing this against a competitive market requires insurers to be transparent with clients about the limits of their capacity; you cannot offer $100 million in coverage to a high-risk energy firm without a clear understanding of the aggregate exposure across the entire portfolio. It’s a delicate dance of maintaining premium growth while ensuring that a single “Black Swan” event doesn’t deplete the capital reserves necessary for day-to-day claims.
What is your forecast for the cyber insurance industry’s ability to remain solvent and functional if a state-sponsored attack reaches the scale of historic global disruptive events?
The industry is currently in a period of rigorous fortification, but a state-sponsored attack on the scale of a $10 billion NotPetya-level event would test the very foundations of our solvency. I forecast that the market will remain functional only if we continue to refine our attribution technologies and strictly enforce the new state-backed exclusion mandates to prevent a total capital wipeout. We will likely see the emergence of more “public-private partnerships” or government backstops, similar to TRIA in the US, to handle the absolute tail-risk of digital warfare that exceeds the private market’s $17 billion capacity. Ultimately, the industry’s survival depends on our ability to move faster than the hackers, turning real-time threat intelligence into actionable underwriting limits before the next “Operation Epic Fury” begins.
