Quick Overview
- 1#1: CyberCube - Provides advanced cyber risk analytics, modeling, and portfolio management for cyber insurers.
- 2#2: Guidewire Cyence - Delivers data-driven cyber risk modeling integrated with Guidewire's core insurance platform.
- 3#3: RMS Cyber Analytics - Offers probabilistic cyber catastrophe risk modeling for underwriting and accumulation analysis.
- 4#4: Kovrr - Cyber risk quantification platform using AI and machine learning for insurance pricing and exposure.
- 5#5: RiskLens - Enables FAIR-based cyber risk quantification to support underwriting and risk transfer decisions.
- 6#6: BitSight - Cybersecurity ratings platform for assessing policyholder and vendor risks in cyber insurance.
- 7#7: SecurityScorecard - Continuous security ratings and monitoring for third-party cyber risk management in insurance.
- 8#8: Coalition - Cyber insurance platform with real-time monitoring, detection, and automated incident response.
- 9#9: At-Bay - AI-driven cyber risk management and insurance platform with continuous vulnerability monitoring.
- 10#10: Verisk CyberRisk - Comprehensive cyber risk analytics and claims solutions for property-casualty insurers.
We selected and ranked these tools based on functionality (including AI, modeling, and integration), precision in risk quantification, user experience, and overall value for insurers aiming to enhance their cyber security and insurance offerings.
Comparison Table
This comparison table assesses top Cyber Insurance Software tools, featuring CyberCube, Guidewire Cyence, RMS Cyber Analytics, Kovrr, RiskLens, and other platforms, to assist users in evaluating options for risk management and underwriting. By examining key functionalities, strengths, and suitability, readers will gain clarity to select the right tool for their business needs.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | CyberCube Provides advanced cyber risk analytics, modeling, and portfolio management for cyber insurers. | enterprise | 9.7/10 | 9.9/10 | 8.7/10 | 9.4/10 |
| 2 | Guidewire Cyence Delivers data-driven cyber risk modeling integrated with Guidewire's core insurance platform. | enterprise | 9.1/10 | 9.6/10 | 7.8/10 | 8.7/10 |
| 3 | RMS Cyber Analytics Offers probabilistic cyber catastrophe risk modeling for underwriting and accumulation analysis. | enterprise | 8.4/10 | 9.2/10 | 7.1/10 | 8.0/10 |
| 4 | Kovrr Cyber risk quantification platform using AI and machine learning for insurance pricing and exposure. | specialized | 8.4/10 | 9.2/10 | 7.8/10 | 8.0/10 |
| 5 | RiskLens Enables FAIR-based cyber risk quantification to support underwriting and risk transfer decisions. | specialized | 8.3/10 | 9.2/10 | 7.6/10 | 8.1/10 |
| 6 | BitSight Cybersecurity ratings platform for assessing policyholder and vendor risks in cyber insurance. | enterprise | 8.4/10 | 9.1/10 | 8.2/10 | 7.6/10 |
| 7 | SecurityScorecard Continuous security ratings and monitoring for third-party cyber risk management in insurance. | enterprise | 8.2/10 | 9.0/10 | 8.5/10 | 7.5/10 |
| 8 | Coalition Cyber insurance platform with real-time monitoring, detection, and automated incident response. | enterprise | 8.4/10 | 8.7/10 | 8.2/10 | 8.0/10 |
| 9 | At-Bay AI-driven cyber risk management and insurance platform with continuous vulnerability monitoring. | specialized | 8.2/10 | 8.7/10 | 7.9/10 | 8.0/10 |
| 10 | Verisk CyberRisk Comprehensive cyber risk analytics and claims solutions for property-casualty insurers. | enterprise | 8.2/10 | 9.0/10 | 7.5/10 | 7.8/10 |
Provides advanced cyber risk analytics, modeling, and portfolio management for cyber insurers.
Delivers data-driven cyber risk modeling integrated with Guidewire's core insurance platform.
Offers probabilistic cyber catastrophe risk modeling for underwriting and accumulation analysis.
Cyber risk quantification platform using AI and machine learning for insurance pricing and exposure.
Enables FAIR-based cyber risk quantification to support underwriting and risk transfer decisions.
Cybersecurity ratings platform for assessing policyholder and vendor risks in cyber insurance.
Continuous security ratings and monitoring for third-party cyber risk management in insurance.
Cyber insurance platform with real-time monitoring, detection, and automated incident response.
AI-driven cyber risk management and insurance platform with continuous vulnerability monitoring.
Comprehensive cyber risk analytics and claims solutions for property-casualty insurers.
CyberCube
enterpriseProvides advanced cyber risk analytics, modeling, and portfolio management for cyber insurers.
Proprietary Cyber Exposure Rating engine using massive real-world data and AI to deliver hyper-accurate, client-specific cyber risk scores
CyberCube is a leading cyber risk analytics platform tailored for the insurance industry, enabling insurers to model, underwrite, and manage cyber insurance portfolios with precision. It leverages vast datasets, AI-driven models, and real-time analytics to quantify cyber exposures, simulate attack scenarios, and optimize pricing and reinsurance strategies. The platform supports end-to-end workflows from exposure rating to portfolio stress testing, helping carriers navigate the evolving cyber threat landscape.
Pros
- Industry-leading cyber risk models backed by proprietary data and advanced AI
- Comprehensive tools for underwriting, portfolio management, and scenario analysis
- Seamless integration with insurer systems for real-time decision-making
Cons
- Enterprise-level pricing requires custom quotes and may be prohibitive for smaller firms
- Steep learning curve due to sophisticated analytics and data requirements
- Optimal performance depends on high-quality client and threat intelligence inputs
Best For
Large cyber insurance carriers and reinsurers needing advanced risk modeling to underwrite and manage complex portfolios.
Pricing
Custom enterprise licensing with subscription tiers; typically starts at $100K+ annually based on usage and modules—contact for quote.
Guidewire Cyence
enterpriseDelivers data-driven cyber risk modeling integrated with Guidewire's core insurance platform.
Proprietary Cyence dataset with billions of cyber events and trillions in simulated losses for unmatched modeling accuracy
Guidewire Cyence is an advanced cyber risk analytics platform tailored for insurance carriers, utilizing big data, AI, and machine learning to model cyber threats and quantify potential losses. It enables precise underwriting, dynamic pricing, portfolio optimization, and scenario simulations for cyber insurance products. By integrating vast proprietary datasets on cyber incidents with Guidewire's core PolicyCenter and ClaimCenter, it delivers actionable insights to enhance risk selection and profitability.
Pros
- Exceptional cyber risk modeling with millions of simulated scenarios and proprietary loss data
- Seamless integration with Guidewire's insurance suite for end-to-end workflows
- Real-time analytics and AI-driven insights for proactive portfolio management
Cons
- Steep learning curve and complex implementation for non-enterprise users
- High cost suitable mainly for large-scale insurers
- Limited flexibility for smaller carriers or standalone use without Guidewire ecosystem
Best For
Large insurance carriers seeking enterprise-grade cyber risk analytics to optimize underwriting and portfolio performance.
Pricing
Custom enterprise licensing, typically starting at $500K+ annually based on scale, data volume, and integrations.
RMS Cyber Analytics
enterpriseOffers probabilistic cyber catastrophe risk modeling for underwriting and accumulation analysis.
Cyber catastrophe accumulation modeling that simulates industry-wide events like widespread ransomware outbreaks
RMS Cyber Analytics is a sophisticated risk modeling platform designed specifically for the insurance industry to assess and quantify cyber risks. It enables insurers to simulate cyber attack scenarios, evaluate portfolio exposures, and support underwriting, pricing, and reinsurance decisions using probabilistic models. The tool integrates threat intelligence, vulnerability data, and economic impact assessments to provide granular insights into potential cyber losses at both individual policy and aggregate levels.
Pros
- Advanced probabilistic modeling for cyber catastrophes and accumulations
- Extensive scenario library covering ransomware, data breaches, and supply chain attacks
- Seamless integration with RMS's broader risk management ecosystem
Cons
- Steep learning curve due to complex modeling interfaces
- High implementation costs and resource requirements
- Limited customization for non-insurance sectors
Best For
Large cyber insurers and reinsurers seeking enterprise-grade risk modeling for portfolio optimization and regulatory compliance.
Pricing
Custom enterprise licensing, typically annual subscriptions starting at $100K+ based on portfolio size and usage.
Kovrr
specializedCyber risk quantification platform using AI and machine learning for insurance pricing and exposure.
Proprietary Cyber Financial Modeling engine that converts cyber threats into quantifiable dollar-loss predictions
Kovrr is a cyber risk quantification platform designed specifically for the cyber insurance industry, enabling insurers, brokers, and corporations to model and financially quantify cyber risks using Monte Carlo simulations and scenario-based analysis. It helps underwriters assess policy pricing, coverage limits, and risk accumulation by translating complex cyber threats into monetary impacts. The platform integrates breach data, attack simulations, and organizational profiles to provide actionable insights for better risk transfer decisions.
Pros
- Advanced Monte Carlo simulations for precise financial risk modeling
- Extensive library of cyber scenarios tailored to insurance needs
- Seamless integration with underwriting workflows and third-party data
Cons
- Steep learning curve for non-technical users
- Enterprise-level pricing inaccessible to SMBs
- Limited focus on real-time threat detection beyond modeling
Best For
Cyber insurance underwriters and risk managers at large insurers or enterprises needing detailed financial quantification of cyber exposures.
Pricing
Custom enterprise pricing upon request, typically starting at $50,000+ annually based on usage and modules.
RiskLens
specializedEnables FAIR-based cyber risk quantification to support underwriting and risk transfer decisions.
FAIR-powered risk quantification engine that converts qualitative cyber threats into precise dollar-loss ranges
RiskLens is a cyber risk quantification platform leveraging the FAIR (Factor Analysis of Information Risk) methodology to translate cyber threats into financial loss estimates. It enables organizations, including cyber insurers, to model risk scenarios, prioritize mitigation efforts, and optimize insurance portfolios with data-driven insights. For cyber insurance software, it excels in underwriting support, premium pricing, and demonstrating risk maturity to reinsurers and regulators.
Pros
- Industry-standard FAIR-based quantification for accurate financial risk modeling
- Strong support for cyber insurance underwriting, pricing, and portfolio optimization
- Actionable dashboards and reports for executive and regulatory communication
Cons
- Steep learning curve requiring expertise in quantitative risk analysis
- Enterprise-level pricing inaccessible to SMBs
- Less emphasis on end-to-end insurance operations like claims management
Best For
Cyber insurance providers and large enterprises needing precise financial quantification of cyber risks for underwriting and coverage decisions.
Pricing
Custom enterprise SaaS pricing; typically starts at $50,000+ annually based on users, modules, and risk portfolio size—contact sales for quotes.
BitSight
enterpriseCybersecurity ratings platform for assessing policyholder and vendor risks in cyber insurance.
Security Ratings: A standardized 250-900 score providing a FICO-like metric for cyber risk, derived from millions of data points.
BitSight is a cybersecurity ratings platform that delivers objective Security Ratings (250-900 scale) based on external observations of a company's attack surface, vulnerabilities, and security practices. For cyber insurance, it enables underwriters to assess policyholder risk without self-reported data, monitor portfolio-wide exposure, and benchmark against peers. The tool supports predictive risk analytics and integrations for streamlined underwriting and claims processes.
Pros
- Objective, continuous external risk monitoring reduces underwriting bias
- Robust benchmarking and portfolio analytics for insurers
- Strong integrations with insurance platforms and workflows
Cons
- High enterprise pricing limits accessibility for smaller insurers
- Ratings can fluctuate and face disputes due to external data reliance
- Less focus on internal controls or full underwriting automation
Best For
Mid-to-large cyber insurers needing scalable, vendor-agnostic risk assessment for underwriting and ongoing portfolio management.
Pricing
Custom enterprise contracts, typically $50,000+ annually based on monitored entities and features.
SecurityScorecard
enterpriseContinuous security ratings and monitoring for third-party cyber risk management in insurance.
A-F letter-grade security ratings derived from 10 proprietary risk factors using external data sources
SecurityScorecard is a cybersecurity ratings platform that delivers objective, external risk scores for organizations and their vendors based on real-time analysis of security factors like network security, patching cadence, and information leakage. For cyber insurance, it supports underwriting by quantifying cyber risk exposure, enabling insurers to benchmark policyholders, set premiums accurately, and monitor ongoing compliance without agent deployment. The platform integrates with third-party risk management systems to streamline vendor assessments and portfolio oversight.
Pros
- Continuous, real-time risk monitoring and A-F grading
- Peer benchmarking and industry-specific insights
- Broad integrations for underwriting workflows
Cons
- External-only visibility lacks internal control details
- High enterprise pricing with no public tiers
- Methodology not fully transparent or customizable
Best For
Cyber insurers and underwriters needing scalable, vendor-agnostic risk scoring for policy pricing and monitoring.
Pricing
Custom enterprise pricing, typically $25,000+ annually based on assets and users.
Coalition
enterpriseCyber insurance platform with real-time monitoring, detection, and automated incident response.
Coalition Control's continuous active monitoring and prevention engine that dynamically adjusts insurance risk scores in real-time
Coalition is an insurtech platform specializing in cyber insurance policies integrated with advanced cybersecurity software called Coalition Control. The software provides proactive risk management tools, including vulnerability scanning, phishing simulations, dark web monitoring, and incident response services to help businesses identify and mitigate cyber threats before they lead to claims. It combines insurance coverage with technology-driven prevention, enabling faster underwriting and reduced premiums for policyholders.
Pros
- Seamless integration of insurance with proactive cybersecurity tools
- Real-time monitoring and automated alerts for vulnerabilities
- Rapid incident response with 24/7 support and no deductible on many claims
Cons
- Primarily tied to purchasing their insurance policies, limiting standalone use
- Geographic focus mainly on US and Canada
- Customization options for advanced users are somewhat limited
Best For
Small to mid-sized businesses looking for bundled cyber insurance and risk management without needing separate software vendors.
Pricing
Quote-based insurance premiums starting around $1,000 annually for small businesses, with Coalition Control software included at no extra cost.
At-Bay
specializedAI-driven cyber risk management and insurance platform with continuous vulnerability monitoring.
Continuous cybersecurity monitoring platform that actively reduces risk exposure in real-time
At-Bay is a cyber insurance provider that combines traditional coverage with a technology-driven platform for proactive risk management. Their software continuously monitors clients' cybersecurity posture, delivering real-time alerts, vulnerability assessments, and remediation recommendations to prevent incidents and reduce claims. Targeted at SMBs, it uses AI and data analytics for underwriting, enabling faster policy issuance and tailored risk mitigation strategies.
Pros
- Proactive continuous monitoring prevents breaches before claims arise
- AI-powered underwriting for quick, data-driven policy decisions
- Integrated expert support and remediation guidance
Cons
- Primarily suited for SMBs, less ideal for large enterprises
- Pricing is quote-based and can be premium due to tech features
- Limited transparency on coverage details without consultation
Best For
Small and medium-sized businesses looking for cyber insurance bundled with ongoing security monitoring and prevention tools.
Pricing
Custom quotes based on risk profile, business size, and revenue; typically starts at $5,000-$20,000 annually for SMBs.
Verisk CyberRisk
enterpriseComprehensive cyber risk analytics and claims solutions for property-casualty insurers.
CyberIgnite scenario simulator for realistic, dynamic modeling of attack vectors and cascading financial impacts
Verisk CyberRisk is an advanced analytics platform tailored for cyber insurance professionals, enabling insurers and reinsurers to model cyber exposures and quantify potential losses. It utilizes proprietary datasets, machine learning, and scenario-based simulations to support underwriting, pricing, and portfolio management decisions. The tool integrates catastrophe modeling principles with cyber threat intelligence for probabilistic risk assessments.
Pros
- Sophisticated probabilistic modeling and scenario simulations
- Integration of vast industry datasets and threat intelligence
- Robust portfolio aggregation and stress testing capabilities
Cons
- Steep learning curve for non-expert users
- High enterprise-level pricing
- Limited flexibility for small insurers or non-specialized users
Best For
Mid-to-large insurers and reinsurers needing data-driven cyber risk quantification for underwriting and portfolio optimization.
Pricing
Custom enterprise licensing; typically annual subscriptions starting at $100K+ based on usage and modules.
Conclusion
The top tools reviewed demonstrate the cutting-edge of cyber insurance software, with CyberCube leading as the top choice thanks to its advanced analytics and portfolio management capabilities. Close behind, Guidewire Cyence shines for its seamless integration with core insurance platforms, while RMS Cyber Analytics stands out for its probabilistic catastrophe modeling—each offering unique strengths to suit diverse needs.
Ready to elevate your cyber risk management? Start with CyberCube, the top-ranked tool, to unlock powerful analytics and take control of your insurance strategy today.
Tools Reviewed
All tools were independently evaluated for this comparison
