Abstract: This project presents a Cyber Insurance Risk Assessment Tool designed to evaluate the cybersecurity risk level of organizations and support cyber-insurance decision-making. The system collects information related to security practices, vulnerabilities, incident history, and organizational assets through a structured assessment process. Based on the collected data, the tool computes an overall cyber risk score and classifies the risk level as low, medium, or high. The application provides a user-friendly dashboard that visualizes risk scores, risk trends, and estimated financial impact of cyber incidents. It also recommends suitable insurance coverage ranges and generates detailed assessment reports for organizations and insurers. By combining risk scoring techniques and optional machine learning-based predictions, the tool helps organizations understand their cyber risk posture and assists insurers in making data-driven premium and coverage decisions. The proposed system improves transparency, accuracy, and efficiency in cyber risk evaluation and cyber insurance assessment.

Keywords: Cyber Insurance, Cyber Risk Assessment, Cybersecurity, Risk Scoring, Risk Management


Downloads: PDF | DOI: 10.17148/IARJSET.2026.13358

How to Cite:

[1] Prithivi Raaj P, Dr. P. Menaka, "Cyber Insurance Risk Assessment Tool," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2026.13358

Open chat