A Novel Methodology for Tracking and Remediating Third - Party Data Breaches

Vivek Kumar Agarwal

Abstract: The increasing reliance on third - party vendors has amplified the risk of data breaches, compromising sensitive information and eroding trust in organizations [1]. Current studies have focused on identifying vulnerabilities, but a comprehensive approach to track and remediate third - party data breaches remains elusive [2]. This paper proposes a new methodology, leveraging a multi - faceted framework that integrates risk assessment [3], real - time monitoring [4], and AI - driven anomaly detection [5]. Our approach enables organizations to proactively identify and mitigate potential breaches, ensuring the confidentiality, integrity, and availability of sensitive data [6].

Keywords: Third - Party Data Breaches, Risk Assessment, Real - time Monitoring, Anomaly Detection, Remediation, Cybersecurity, Vendor Risk Management, Machine Learning, Data Security, Incident Response