Cybersecurity Techniques for Online Health Marketplaces

Authors

  • Ravi Teja Madhala Senior Software Developer Analyst at Mercury Insurance Services, LLC, USA Author
  • Sateesh Reddy Adavelli Solution Architect at TCS, USA Author

Keywords:

Cybersecurity, digital insurance platforms, data security, risk management, AI-driven security, insurance technology

Abstract

In the current digital environments, insurers may place a high premium on cyber securities. Leading insurance technology company Guidewire has been a multi-layered approach to the data protections, guaranteeing adherence to laws such as GDPR, HIPAA & PCI DSS. To safeguard private client information & maintain the confidences, their systems include encryption, secure authentication & the ongoing monitoring. Cybersecurity dangers increases in the complexity as a digital ecosystems expand with the cloud technology and third-party connections. Guidewire uses data segregation techniques such as secure APIs and robust accesses restrictions to address these issues. In order to promote a security-first culture, they also place a strong emphasis on the preventative measures including frequent vulnerabilities assessments, enhanced threat detection & the cybersecurity training for staff members. By protecting against the data breaches, privacy violations and the assisting insurers in adjusting to latest rules. Guidewire's solutions help them to strike a balance between innovations & the securities. In an interconnected world, insurers can be confidently embraces the digital transformations by putting resilience's & the risk management first, providing consumers with safe & the frictionless experiences.

References

1. 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.

2. 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.

3. 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.

4. 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.

5. Kesan, J. P., & Hayes, C. M. (2017). Strengthening cybersecurity with cyberinsurance markets and better risk assessment. Minn. L. Rev., 102, 191.

6. Kaplan, J. M., Bailey, T., O'Halloran, D., Marcus, A., & Rezek, C. (2015). Beyond cybersecurity: protecting your digital business. John Wiley & Sons.

7. 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.

8. Marotta, A., Martinelli, F., Nanni, S., Orlando, A., & Yautsiukhin, A. (2017). Cyber-insurance survey. Computer Science Review, 24, 35-61.

9. DiGrazia, K. (2017). Cyber insurance, data security, and blockchain in the wake of the Equifax breach. J. Bus. & Tech. L., 13, 255.

10. 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.

11. 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.

12. Camillo, M. (2017). Cyber risk and the changing role of insurance. Journal of Cyber Policy, 2(1), 53-63.

13. 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.

14. Woods, D., & Simpson, A. (2017). Policy measures and cyber insurance: a framework. Journal of Cyber Policy, 2(2), 209-226.

15. 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.

16. Gade, K. R. (2018). Real-Time Analytics: Challenges and Opportunities. Innovative Computer Sciences Journal, 4(1).

17. Gade, K. R. (2017). Integrations: ETL vs. ELT: Comparative analysis and best practices. Innovative Computer Sciences Journal, 3(1).

18. Gade, K. R. (2017). Integrations: ETL/ELT, Data Integration Challenges, Integration Patterns. Innovative Computer Sciences Journal, 3(1).

19. Gade, K. R. (2017). Migrations: Challenges and Best Practices for Migrating Legacy Systems to Cloud-Based Platforms. Innovative Computer Sciences Journal, 3(1).

20. Naresh Dulam. Apache Spark: The Future Beyond MapReduce. Distributed Learning and Broad Applications in Scientific Research, vol. 1, Dec. 2015, pp. 136-5

21. 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

22. 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

23. 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

24. 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

25. Komandla, V. Transforming Financial Interactions: Best Practices for Mobile Banking App Design and Functionality to Boost User Engagement and Satisfaction.

26. 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).

Published

15-02-2019

How to Cite

[1]
Ravi Teja Madhala and Sateesh Reddy Adavelli, “Cybersecurity Techniques for Online Health Marketplaces”, Distrib. Learn. Broad Appl. Sci. Res., vol. 5, pp. 1–15, Feb. 2019, Accessed: Mar. 14, 2025. [Online]. Available: https://dlbasr.org/index.php/publication/article/view/45