Nick Panarella

Beazley’s pulling back from cyber, even as competitors expand, isn’t just about ransomware frequency or geopolitical volatility. Those challenges matter, but they’re symptoms of a deeper structural issue: insurers are trying to price a peril they cannot fully understand. Cyber underwriters have frameworks to assess network hygiene, vulnerability exposure, segmentation, identity controls, and incident response maturity. What they don’t have — and have never had — is a reliable, defensible, standardized way to value the data itself. And that’s the core problem. Data is now the most valuable asset most organizations possess, yet nearly every cyber policy in the market is built on guesswork when it comes to quantifying the economic impact of data loss, corruption, theft, or unavailability. Insurers are asked to price a risk where the underlying asset is effectively unmeasured and unmeasurable. This has created a volatile market: rising claims, falling premiums, tightening exclusions, and uncertainty that forces some carriers to contract while others gamble on expansion. But here’s the truth: Cyber insurance will remain unstable until the industry can properly value data — not theoretically, but operationally. That is the gap VeridatAI, Inc. exists to close. VeridatAI provides the first mechanism for organizations to establish cryptographically verifiable, market-grounded valuations for their data. Not estimates. Not spreadsheets. Actual price discovery tied to real demand, provenance, and utility in the global AI and data economy. When businesses can finally quantify what their data is worth, insurers can finally quantify what data loss truly costs. And when that happens, cyber insurance can evolve from volatility to actuarial science. The cyber market isn’t broken — it’s incomplete. VeridatAI is building the missing layer of valuation that will allow risk, capital, and coverage to function the way they were always meant to. VeridatAI: Reshaping the Data Economy Corey H. George A. George K. Matt Willmann Ernie B. Andrew McClure Robert Bair Tanya Loh George Barnes Shannon Noonan Kathryn Wang Katherine Hennessey Alison King Ryan Solís Tyson Meadors Ken Morris Erik Cyre KnectIQ Forgepoint Capital Red Cell Partners Paladin Capital Group NightDragon FON Advisors Academy Securities SandboxAQ Keith Burkhardt Marsh Alliant Insurance Services USI Insurance Services AIG Chubb Coalition, Inc. Travelers Tokio Marine HCC

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🔥 Wildfires are reshaping the risk landscape—traditional models can’t keep up. Learn how next-gen modeling is helping insurers navigate volatility and protect portfolios in a new article from Guidewire's Tammy Nichols Schwartz: https://lnkd.in/gCUaNVfJ #HazardHub #InsurTech #WildfireRisk #ClimateResilience #InsuranceInnovation

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We are back with another #MidweekRead! Read “Developing Actuarial Judgment” by Erin Olson, FCAS. Learn about how seasoned actuaries sharpen their skills – anticipating crucial outcomes, translating complex concepts for all audiences, and more. Now available in Actuarial Review: https://lnkd.in/ekZRKqWA  

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AI isn’t replacing underwriters and actuaries—but the need for new skills and better collaboration is growing. Recent research shows fears of obsolescence are fading, but upskilling and tech frustrations remain top of mind for insurance professionals. Read more: https://lnkd.in/gw8xFfkS

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We were joined by insurance leaders from Milliman, The Hartford, and Plymouth Rock Assurance to discuss the evolution of data science in our latest webinar 🎬 Attendee Debbie Dukeshire from Standard Publishing Corporation eloquently summarized the discussion while adding a fresh perspective, focusing on the scale in which Actuaries are currently working with data and the importance of documentation. "If someone thinks they have a great data scientist but that person is not willing to document their work, they’re not a great data scientist,” said panelist Jamie Warner. Read the reprint: https://lnkd.in/ehrDfcft

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“The underwriting workflow itself might remain orchestrated traditionally, but each step, the "needle-in-the-haystack" moments, could be powered by intelligent agents making context-based decisions.” AI Agents can be a rather complex topic, so we did a Q&A with someone who’s great at making complex things simple: Brian Moseley, Sixfold’s CTO. He covers: - What “Agentic AI” really means - Why it matters for insurance underwriting - How we’re putting this technology to work at Sixfold 👉 Read the full Q&A here: https://lnkd.in/dNijFYki

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