Cybersecurity Strategies in Digital Insurance Platforms
Keywords:
Cybersecurity, data securityAbstract
Cybersecurity has become a pivotal concern for insurers, customers, and stakeholders in the evolving digital insurance landscape. Guidewire, a leading provider of insurance platform solutions, adopts a multi-layered approach to data security, ensuring compliance with industry regulations like GDPR, HIPAA, and PCI DSS. Their platforms are designed with encryption protocols, secure authentication, and continuous monitoring to safeguard sensitive customer data and maintain trust. Guidewire emphasizes proactive security measures, integrating advanced threat detection and regular vulnerability assessments into their systems to mitigate risks effectively. As digital ecosystems expand with interconnected services, third-party integrations, and cloud technologies, managing associated risks becomes increasingly complex. Guidewire addresses these challenges by implementing robust access controls, secure APIs, and data segregation practices. Additionally, Guidewire stays ahead of evolving cyber threats by incorporating best practices, conducting employee cybersecurity training, and maintaining a security-first culture. Their solutions ensure insurers can seamlessly adapt to new regulations while offering secure digital experiences to customers. This comprehensive approach helps insurers manage the delicate balance between innovation and security, protecting against data breaches, cyberattacks, and privacy violations. As insurance platforms become more digitalized, maintaining resilience in the face of potential security threats is not just an operational requirement but a fundamental aspect of business continuity. Through Guidewire's focus on cybersecurity and risk management, insurers can confidently embrace digital transformation, providing seamless, secure, and compliant services to their customers in an increasingly interconnected world.
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References
Catlin, T., Lorenz, J. T., Nandan, J., Sharma, S., & Waschto, A. (2018). Insurance beyond digital: The rise of ecosystems and platforms. McKinsey & Company, 10, 2018.
Vakilinia, I., & Sengupta, S. (2018). A coalitional cyber-insurance framework for a common platform. IEEE Transactions on Information Forensics and Security, 14(6), 1526-1538.
Abramovsky, A., & Kochenburger, P. (2016). Insurance online: Regulation and consumer protection in a cyber world. The" Dematerialized" Insurance: Distance Selling and Cyber Risks from an International Perspective, 117-142.
Young, D., Lopez Jr, J., Rice, M., Ramsey, B., & McTasney, R. (2016). A framework for incorporating insurance in critical infrastructure cyber risk strategies. International Journal of Critical Infrastructure Protection, 14, 43-57.
Kesan, J. P., & Hayes, C. M. (2017). Strengthening cybersecurity with cyberinsurance markets and better risk assessment. Minn. L. Rev., 102, 191.
Kaplan, J. M., Bailey, T., O'Halloran, D., Marcus, A., & Rezek, C. (2015). Beyond cybersecurity: protecting your digital business. John Wiley & Sons.
Talesh, S. A. (2018). Data breach, privacy, and cyber insurance: How insurance companies act as “compliance managers” for businesses. Law & Social Inquiry, 43(2), 417-440.
Marotta, A., Martinelli, F., Nanni, S., Orlando, A., & Yautsiukhin, A. (2017). Cyber-insurance survey. Computer Science Review, 24, 35-61.
DiGrazia, K. (2017). Cyber insurance, data security, and blockchain in the wake of the Equifax breach. J. Bus. & Tech. L., 13, 255.
Stoeckli, E., Dremel, C., & Uebernickel, F. (2018). Exploring characteristics and transformational capabilities of InsurTech innovations to understand insurance value creation in a digital world. Electronic markets, 28, 287-305.
Gai, K., Qiu, M., & Elnagdy, S. A. (2016, April). A novel secure big data cyber incident analytics framework for cloud-based cybersecurity insurance. In 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS) (pp. 171-176). IEEE.
Camillo, M. (2017). Cyber risk and the changing role of insurance. Journal of Cyber Policy, 2(1), 53-63.
Elnagdy, S. A., Qiu, M., & Gai, K. (2016, June). Understanding taxonomy of cyber risks for cybersecurity insurance of financial industry in cloud computing. In 2016 IEEE 3rd international conference on cyber security and cloud computing (CSCloud) (pp. 295-300). IEEE.
Woods, D., & Simpson, A. (2017). Policy measures and cyber insurance: a framework. Journal of Cyber Policy, 2(2), 209-226.
Radanliev, P., De Roure, D., Cannady, S., Montalvo, R. M., Nicolescu, R., & Huth, M. (2018). Economic impact of IoT cyber risk-analysing past and present to predict the future developments in IoT risk analysis and IoT cyber insurance.
Gade, K. R. (2018). Real-Time Analytics: Challenges and Opportunities. Innovative Computer Sciences Journal, 4(1).
Gade, K. R. (2017). Integrations: ETL vs. ELT: Comparative analysis and best practices. Innovative Computer Sciences Journal, 3(1).
Gade, K. R. (2017). Integrations: ETL/ELT, Data Integration Challenges, Integration Patterns. Innovative Computer Sciences Journal, 3(1).
Gade, K. R. (2017). Migrations: Challenges and Best Practices for Migrating Legacy Systems to Cloud-Based Platforms. Innovative Computer Sciences Journal, 3(1).
Naresh Dulam. Apache Spark: The Future Beyond MapReduce. Distributed Learning and Broad Applications in Scientific Research, vol. 1, Dec. 2015, pp. 136-5
Naresh Dulam. NoSQL Vs SQL: Which Database Type Is Right for Big Data?. Distributed Learning and Broad Applications in Scientific Research, vol. 1, May 2015, pp. 115-3
Naresh Dulam. Data Lakes: Building Flexible Architectures for Big Data Storage. Distributed Learning and Broad Applications in Scientific Research, vol. 1, Oct. 2015, pp. 95-114
Naresh Dulam. The Rise of Kubernetes: Managing Containers in Distributed Systems. Distributed Learning and Broad Applications in Scientific Research, vol. 1, July 2015, pp. 73-94
Naresh Dulam. Snowflake: A New Era of Cloud Data Warehousing. Distributed Learning and Broad Applications in Scientific Research, vol. 1, Apr. 2015, pp. 49-72
Komandla, V. Transforming Financial Interactions: Best Practices for Mobile Banking App Design and Functionality to Boost User Engagement and Satisfaction.
Komandla, Vineela. "Transforming Financial Interactions: Best Practices for Mobile Banking App Design and Functionality to Boost User Engagement and Satisfaction." Available at SSRN 4983012 (2018).
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