Development of a Reverse Engineering-Enabled Data Loss Prevention System for Cloud Storage Monitoring

The client faces difficulties in securing sensitive corporate data transferred to public cloud services, such as cloud storage providers, without hindering employee productivity. The proprietary nature of third-party client applications, which are often compiled and obfuscated, hampers traditional monitoring and protection methods. Ensuring compatibility without compromising security or functionality presents a complex challenge that requires innovative solutions.

A mid to large-sized enterprise specializing in cybersecurity solutions, focused on protecting sensitive data in cloud environments and ensuring third-party application compatibility.

• Design and develop a data loss prevention system capable of monitoring and controlling data transfer activities in cloud storage applications.
• Implement reverse engineering techniques to analyze and intercept proprietary third-party client application internals to enable effective monitoring without disrupting app functionality.
• Create a prototype that can intercept, analyze, and manage file, folder, and network operations related to cloud storage clients.
• Ensure the system respects application and protocol integrity while providing comprehensive security oversight.
• Achieve seamless integration with existing corporate security infrastructure and compliance standards.

• Reverse engineering module to analyze and understand proprietary client application internals.
• Interceptor components to monitor and manage file system interactions and network traffic between the client application and cloud storage services.
• Data analysis engine to detect sensitive data within files and network streams.
• Control mechanisms to prevent unauthorized data transfer or leakage to public cloud platforms.
• Logging and audit trail capabilities for compliance and security oversight.
• Modular architecture for easy updates and integration with existing security systems.

• Corporate security information and event management (SIEM) systems
• Existing data loss prevention (DLP) solutions
• Cloud service APIs (if accessible)
• Network infrastructure monitoring tools

• High performance and low latency to ensure real-time monitoring without degradation of user experience.
• Scalability to handle increasing number of client applications and data volume.
• Strong security measures for reverse engineering components and data handling.
• Compatibility with various operating systems and application versions.
• Compliance with legal and ethical standards for reverse engineering activities.

The developed system is expected to significantly enhance data security by intercepting and controlling sensitive information transfer in cloud storage applications. It aims to protect corporate data without disrupting authorized application functions, improving compliance and reducing data leakage risks. Quantitative metrics such as reduced data leaks, improved monitoring coverage, and maintained application uptime will demonstrate system effectiveness and value.