CyberCube offers a data-driven cyber risk analytics platform that utilizes artificial intelligence to quantify cyber risks for insurance companies. By providing actionable insights and tailored solutions, it enables insurers to make informed risk management and transfer decisions in a rapidly evolving cyber landscape.
Funding
$105M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MSFounders
Product
Problem
The insurance industry faces challenges in accurately quantifying and managing cyber risk due to the dynamic nature of cyber threats and the potential for significant financial losses from cyber events. Traditional methods often lack the granularity and real-time insights needed to make informed underwriting and risk transfer decisions.
Solution
CyberCube provides a cyber risk analytics platform that leverages artificial intelligence (AI) and data-driven models to enable insurance organizations to quantify cyber risk. The platform offers a suite of solutions, including tools for individual risk underwriting, portfolio management, and cyber risk aggregation. By providing detailed insights into potential sources of loss, relevant cyber events, and peer benchmarking, CyberCube empowers insurers, reinsurers, and brokers to make data-driven decisions, develop effective risk mitigation strategies, and optimize their cyber insurance offerings. The platform's models are designed to work seamlessly and integrate with existing workflows.
Target Audience
CyberCube serves insurance brokers, insurers, reinsurers, MGAs, and insurance-linked securities (ILS) providers seeking to quantify, model, and manage cyber risk effectively.
Features
- AI-powered analytics for quantifying cyber risk exposure
- Portfolio Manager for stress-testing insurance portfolios against systemic cyber scenarios like data breaches and ransomware attacks
- Account Manager for data-driven risk selection and efficient underwriting decisions
- Broking Manager to quantify financial exposure impact for clients
- Industry Exposure Databases for benchmarking and real-time analysis of cyber risks
- CyberConnect for seamless integration with existing systems
- SPoF (Single Point of Failure) Intelligence to identify and analyze critical infrastructure dependencies
- Attritional Loss Model for assessing potential losses from routine cyber incidents
- Cyber Aggregation Event Response Service (CAERS) for responding to large-scale cyber events
- CyberCube Academy for training and development