Data Breach Monitoring System
Authors:-Ms.Dhivya K, Abinaya M, Janaki R, Kavya S, Sowbarnika P N
Abstract-Current data breach monitoring systems provide continuous oversight of network activity and data access points, leveraging analytics and machine learning to detect unauthorized access to sensitive information. These systems generate real-time alerts for rapid response actions, such as isolating compromised devices and blocking suspicious IPs, while also supporting regulatory compliance through detailed activity logs. This project proposes enhancements in anomaly detection precision using adaptive machine learning algorithms that update behavior baselines dynamically and reduce false positives, improving threat identification accuracy. Additionally, it integrates seamlessly with automated incident response platforms for efficient containment and remediation. Future developments aim to incorporate predictive analytics to anticipate breaches by analyzing evolving behavioral trends, enhancing proactive defense capabilities and the system’s adaptability to emerging cyber threats.
