Designing Data Loss Prevention System for The Enhancement of Data Integrity in Cyberspace

Today data is the biggest asset for the company. Due to increase in cyber attacks it is necessary to protect them from cyber threats. One of the biggest concerns for a company is to maintain data integrity. To maintain the integrity and reliability it is necessary to have an efficient data loss prevention system. Traditional approaches like firewall can’t protect our data anymore which will have a huge impact on the company. To prevent these negative impacts reliable data loss prevention is necessary.Data loss prevention (DLP) systems are critical tools for protecting sensitive data from loss or theft. Traditional DLP solutions have focused on a single approach, such as endpoint DLP or network DLP. However, in today’s complex and rapidly evolving threat landscape, organizations need a more comprehensive approach to data loss prevention. This paper proposes a methodology for combining behaviour-based DLP, machine learning-based DLP, and network-based DLP to enhance data integrity in cyberspace. This approach provides a comprehensive and integrated solution that detects and prevents data loss across the entire network. The proposed methodology includes identifying sensitive data, deploying endpoint DLP, network DLP, and machine learning DLP solutions, integrating the DLP solutions, implementing monitoring and reporting, and continuously improving the system. By combining these DLP approaches, organizations can better protect sensitive data and ensure data integrity in today’s complex and evolving threat landscape [1] [6].