Data Protection Management System for Gap Detection

The patent introduces an intermediary system comprising automated data collection agents, processing engines, and analysis modules that act as mediators between data protection resources and monitoring functions. These intermediaries collect data from multiple sources, process it through standardized pipelines, and generate gap identification results, thereby improving measurement precision while managing system complexity through modular architecture

The monitoring system is segmented into distinct functional modules: data collection agents deployed across data protection resources, data processing engines that analyze collected information, and gap identification algorithms that detect protection deficiencies. This segmentation allows each component to be optimized independently, improving overall detection accuracy while maintaining manageable complexity through clear separation of concerns

The system implements periodic monitoring cycles where data collection agents gather information at scheduled intervals rather than continuously. The processing engine analyzes data in batches during these periodic cycles, identifying protection gaps without requiring constant computational resources. This periodic approach maintains data protection reliability while significantly reducing energy and computational consumption compared to continuous real-time monitoring

Data protection resources are equipped with self-monitoring capabilities where embedded agents automatically collect their own operational data and protection status information. This self-service approach eliminates the need for external probing and reduces the computational burden on central monitoring systems, as resources report their own state without requiring intensive external analysis