Casualty and financial lines risk is evolving rapidly. Emerging technologies, expanding litigation, and rising social, environmental, and financial pressures are reshaping how liability forms and accumulates across portfolios. These forces are increasingly interconnected, creating new challenges for underwriting, reserving, and portfolio management.
Moody’s sees this complexity as an opportunity for the industry to grow. By bringing together science, modeling, data, analytics, and technology, we are building a forward-looking foundation for casualty and financial lines risk intelligence that supports stronger underwriting decisions, clearer portfolio oversight, and more effective risk communication in an increasingly complex liability environment.
Moody’s CoMeta™ is our casualty catastrophe modeling platform, purpose-built to help (re)insurers understand, quantify, and manage systemic liability risk before it materializes as loss. By combining scientific research, legal scholarship, probabilistic modeling, and Orbis's structured data on more than 580 million global companies, CoMeta provides a forward-looking view of how casualty catastrophes form, spread, and accumulate across portfolios.
Traditional casualty analytics are anchored in historical claims and loss development. CoMeta extends that view by delivering exposure-based, scenario-driven intelligence that flows directly into underwriting, exposure management, reserving, reinsurance, and capital decision-making workflows. By using Orbis to create a consistent, validated view of insured companies, CoMeta allows for emerging liability risk to be analyzed and communicated at the entity, portfolio, and enterprise levels.
This shared, platform-driven approach helps organizations operate from a common, evidence-based understanding of casualty catastrophe risk to support earlier intervention, stronger discipline, and more resilient portfolio outcomes in an increasingly complex liability environment.
General liability underwriting is increasingly influenced by risks with limited or no historical loss experience, including artificial intelligence, digital platforms, and social media. CoMeta equips underwriters with forward-looking insight by linking emerging liability perils directly to named companies, products, and industries. It also uses Orbis to resolve insureds to a consistent, validated company identity and apply comprehensive firmographic and ownership context, supporting more precise pricing, targeted exclusions, and defensible underwriting decisions.
Real-time litigation intelligence helps organizations strengthen underwriting discipline. By matching defendants in court filings to insured entities using Orbis, underwriters can identify when insureds or peers are being named in litigation, apply referral rules earlier, and document decisions with primary source evidence. For underwriting leadership, this promotes consistency, transparency, and stronger control over emerging accumulation.
Casualty portfolios are exposed not just to individual risks but to how those risks accumulate, interact, and evolve over time. CoMeta’s scenario capabilities allow (re)insurers to explore “what if” views of emerging liability risk across companies, sectors, and portfolios. Users can evaluate how changes in litigation activity, scientific consensus, or legal theory may affect losses before those dynamics are reflected in financial results.
These scenario-based insights support better portfolio construction, reinsurance strategy, capital allocation, and executive decision-making in an environment where uncertainty is the norm. For exposure managers and actuarial teams, this translates into practical tools for stress-testing portfolios and aligning strategic decisions with underlying exposure reality.
Long-tail casualty risk challenges traditional actuarial approaches that rely solely on historical development patterns. CoMeta complements those methods with forward-looking probabilistic models designed to estimate the frequency and severity of emerging liability risks over extended time horizons.
This allows actuarial and pricing teams to incorporate early risk signals into reserving and planning decisions. CoMeta helps casualty teams better align today’s decisions with tomorrow’s outcomes while also supporting leadership with greater confidence in capital allocation and reinsurance strategy in an increasingly volatile liability environment.
Emerging liability risk is rarely isolated. It accumulates across portfolios, industries, and geographies, often invisibly. Without a clear, entity-level view of exposure, insurers can struggle to see how risks connect, where concentrations are forming, and how portfolio decisions today may create aggregation tomorrow.
CoMeta links liability perils to named entities across a global universe of companies, using Orbis to resolve insureds to a consistent, validated entity and map exposures across corporate hierarchies, allowing insurers to analyze exposure at the company, portfolio, and enterprise levels. Users can identify concentrations, assess clash risk, and quantify aggregation across emerging hazards that may not yet appear in traditional exposure reporting.
These insights support smarter portfolio steering, reinsurance purchasing, capital management, and enterprise risk oversight, with Orbis providing the entity-level backbone that helps aggregation and accumulation views reflect the true structure of insured organizations; this allows casualty insurers to manage exposure with confidence in an increasingly complex risk landscape.
Within CoMeta, litigation tracking captures how scientific, regulatory, and behavioral risk drivers are translating into legal action, helping insurers understand when and where systemic liability risk is accelerating and how litigation trends are evolving across the market.
By monitoring US federal and state court filings in real time, CoMeta integrates litigation signals directly into casualty catastrophe modeling workflows. These signals inform the evolution of scenarios, refine event footprints, and provide timely evidence that helps organizations reassess exposure, accumulation, and portfolio vulnerability as risk moves from formation to manifestation.
This integrated view helps underwriting, exposure management, reserving, reinsurance, and capital teams operate from a shared understanding of how emerging liability risks are developing to better support earlier intervention, stronger portfolio discipline, and more confident catastrophe risk decisions.
As part of CoMeta, litigation tracking integrates directly into casualty catastrophe modeling workflows while remaining available as a stand-alone solution to support different adoption paths across casualty teams.
The liability landscape is changing, with litigation emerging earlier and evolving faster than traditional casualty analytics were designed to capture. As social inflation, litigation finance, and novel legal theories accelerate the pace of mass litigation, insurers and reinsurers need visibility into legal activity before it translates into claims, reserve volatility, and portfolio disruption.
Moody’s litigation tracking delivers real-time intelligence on casualty-relevant litigation by continuously monitoring US federal and state court filings as they occur. The solution surfaces newly filed complaints, tracks the evolution of mass torts and securities class actions, and reveals emerging legal trends that indicate where liability risk is forming and accelerating across the market.
Designed specifically for insurance workflows, litigation tracking helps underwriting, claims, exposure management, reserving, and reinsurance teams move from reactive response to proactive decision-making. By turning unstructured court filings into structured, decision-ready insight, it supports stronger underwriting discipline, earlier risk identification, and clearer communication of emerging liability exposure across the organization.
Available as both a stand-alone solution and as an integrated feature within Moody’s broader casualty analytics ecosystem, litigation tracking provides insurers with a faster, clearer, and more confident way to stay ahead of litigation-driven risk.
As inflationary pressures, economic uncertainty, and constrained access to credit increase the risk of nonperformance, surety bond underwriters are being asked to support continued market growth while maintaining rigorous underwriting discipline. Moody’s sees this moment as a clear opportunity to strengthen the global surety market through better data, analytics, and decision support.
Risk intelligence delivered to your surety workflow.
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A comprehensive, forward-looking approach to liability risk. Casualty risk is evolving — shaped by emerging technologies, expanding litigation, and accelerating social, environmental, and financial pressures. Moody’s is an industry-leading partner in understanding, quantifying, and managing casualty risk and exposure. We provide science, modeling, data, analytics, and technology for insurers, reinsurers, and brokers to assess interconnected risks holistically, dynamically, and at scale. Our solutions help insurance professionals build their own perspectives on risk, communicate confidently across stakeholders, and embed emerging risk insights into day-to-day decisions. With tools designed for underwriting, reserving, claims, and portfolio management, insurers can make faster, more informed decisions and report on risk and performance with clarity and confidence.
As the surety market continues to expand, at the same time, the risk environment is becoming harder to navigate, and talking with surety leaders, they describe the problem as confidence in decisioning, as decision quality becomes the key differentiator. Graham Tibbetts and Taro Ramberg examine why forward-looking signals matter in surety, and introduce Moody’s Surety Risk Intelligence, producing surety risk scores that underwriters can use alongside judgment to improve consistency and decision quality.
Strengthening disciplined growth in surety
Financial lines risk is increasingly shaped by company fundamentals, financial resilience, and operating context. Although claims and policy data remain essential, insurers need clearer ways to connect that information to the underlying characteristics of the companies they insure to differentiate risk, apply pricing discipline, and manage portfolios with confidence.
Moody’s is investing in financial lines risk intelligence that surfaces loss-predictive risk signals grounded in observable company attributes. At the core of this capability is Orbis, Moody’s global company database, which provides a consistent, entity-level view across public and private companies and facilitates richer insight across financial lines portfolios.
From late 2024 into early 2025, Moody’s and a Fortune 500 company (“the Insurer”) collaborated on a joint research project to identify company datapoints from across several data domains in the Moody’s data estate that could help model claims risk.
A Fortune 500 insurer engaged Moody’s to investigate whether firmographic, financial, or credit attributes contributed measurable signals that could help predict future claims across general liability, professional, and financial lines.
Managing casualty exposure starts with data, but too often that data is fragmented, inconsistent, and difficult to use. Duplicate records, unresolved company names, and incomplete fields make it harder to understand how risk accumulates across portfolios and even more difficult to act with confidence. Moody’s exposure management managed services help (re)insurers transform messy casualty exposure data into decision-ready insight without adding operational burden. By working closely with portfolios over time, our specialists have helped customers achieve up to a 25% improvement in data quality, creating a stronger foundation for accumulation analysis, portfolio oversight, and downstream exposure analytics. By combining casualty domain specialization, structured data preparation, and portfolio-level analytics, we help organizations move faster, see exposure more clearly, and focus on managing risk rather than preparing data. Exposure management insight starts with exposure data readiness.
Reliable exposure insight starts with reliable data. By resolving entities and standardizing records across portfolios, our exposure data is ready to support accumulation analysis, clash identification, and portfolio-level views that reflect reality rather than noise.
Moody’s managed services operate as an extension of your team. You submit your exposure data, and our specialists handle processing, enrichment, and delivery. This reduces internal burden and frees underwriting, exposure, and risk teams to focus on decision-making rather than data cleanup.
Clean, consistent exposure data is essential for internal oversight and external reporting. We deliver customer-ready outputs that support management reporting, regulatory requirements, and frameworks such as Lloyd’s Realistic Disaster Scenarios, helping organizations communicate exposure clearly across stakeholders.
By working with portfolios on an ongoing basis, our specialists develop deep familiarity with your exposure data. This continuity improves consistency, supports repeatable workflows, and strengthens exposure insight over time as portfolios evolve and reporting needs change.
Casualty exposure management is complex, fragmented, and often under-resourced. Moody’s managed service acts as an extension of your team, handling data cleansing, name matching, enrichment, and analytics so you can focus on decision-making rather than data wrangling. Whether you want deeper insights into your portfolios or managing accumulation hot spots, we deliver clarity, consistency, and confidence.
Expanded visibility through private-entity data
A critical advantage of Moody’s comprehensive casualty solution is access to an extensive breadth of private-entity data. With detailed information on over 49 million private companies and governance insights covering more than 76 million boards of directors worldwide, Moody’s enhances insurers’ ability to assess liability exposures across both public and private sectors. This expanded visibility allows insurers to better understand and quantify emerging risks concentrated among privately held firms — entities that have traditionally been harder to evaluate.
By integrating private-entity data into our casualty solution, Moody’s helps insurers make more informed underwriting, pricing, reserving, and portfolio management decisions. Combined with Moody’s credit expertise and analytical infrastructure, this broader view supports insurers in navigating today’s complex liability environment with greater precision, confidence, and foresight.
Traditional models rely on past claims data. Our solutions incorporate forward-looking scientific, legal, and financial insight to anticipate future risk — before it appears in loss experience.
Moody’s casualty solutions integrate emerging risk intelligence, corporate data, and litigation monitoring to help underwriters identify potential exposures earlier; quantify latent accumulation across insureds; and adjust pricing, exclusions, and terms proactively. This promotes more informed underwriting decisions and supports stronger portfolio risk management. Access more detailed information on casualty underwriting here.
Our tools are designed for seamless integration. Whether you prefer application programming interfaces (APIs), apps, or platform-based access, implementation is streamlined to support rapid onboarding so your teams can begin using our insights in underwriting, reserving, and portfolio management with minimal disruption.
Financial lines private entity underwriting is challenging with limited public data. Learn how deep data, AI, and predictive analytics can improve efficiency, risk selection, and pricing. Enhance compliance processes and make decisions faster.
Two August court decisions, the Ninth Circuit's rejection of Meta's Section 230 defense and a $567 million public nuisance ruling in New Mexico, confirm that addictive software design litigation is now a long-tail casualty risk insurers will manage for years.
A case study with a US specialty insurer shows how Moody’s loss predictive risk signals can help support risk selection, portfolio steering, and more profitable growth.
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For general liability (GL) underwriting leaders, achieving pricing discipline requires a clear view of risk across industries, business activities, and the legal environment that determines how liabilities ultimately surface. As many risks evolve long before they show up in historical loss experience, underwriters are making pricing decisions with incomplete information, and by the time loss signals catch up, the market has already moved. Chloe Cush and Niharika Rao look at five main challenges GL underwriters face when pricing in today’s litigation economy, and how using real-time intelligence solutions, such as Moody's CoMeta Litigation Tracking, could help.
Recent jury verdicts related to alleged harms from addictive software design have drawn attention to a rapidly evolving area of liability. But, for casualty insurers, do these cases reveal a familiar pattern of liability accumulation that begins well before risk becomes visible in historical loss data. Observing that major liability events over the past several decades have followed a consistent trajectory path from early signal to mass litigation, Adam Grossman and Taro Ramberg highlight solutions such as Moody's CoMeta, that offer casualty insurers tools to help translate early scientific and legal signals into portfolio relevant exposure intelligence, even in the absence of headlines.
As the surety market grows amid economic uncertainty, disciplined, forward‑looking decisions are key to sustainable profitability.
What are the implications for casualty (re)insurers from two court cases centered on alleged harms caused by social media software design? Adam Grossman and Taro Ramberg examine this week's cases, two of more than 4,000 similar current cases that were first tracked by CoMeta in 2018, focusing on design features potentially selected to increase engagement by seeking to leverage drawing on behavioral and psychological mechanisms discussed in scientific and policy literature.
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Moody’s Corporation (NYSE:MCO) announced today that it has acquired Praedicat, a leading provider of casualty insurance analytics. The acquisition adds comprehensive casualty and liability modeling to Moody’s range of market leading solutions for the insurance industry, further enhancing its overall risk assessment strategy.
What does this mean? Read our frequently asked questions to find out more.
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