Digital Security Analysis System for Organizational Integrity

The patent segments the digital security analysis into multiple independent modules: data collection module, data processing module, integrity indicator determination module, and continuity indicator generation module. Each module performs a specific function, allowing the complex analysis to be broken down into manageable components that can be processed independently, thereby improving assessment accuracy without overwhelming system complexity.

The patent introduces a new dimensional approach by generating both integrity indicators and continuity indicators simultaneously. The integrity indicator assesses the current state of digital resources, while the continuity indicator projects future operational continuity. This multi-dimensional assessment framework provides comprehensive security analysis that traditional single-dimension methods cannot achieve.

The patent implements preliminary action by continuously collecting and pre-processing organizational data before security incidents occur. The system maintains an ongoing database of organizational resource states, configurations, and operational parameters, so that when security assessment is needed, the analysis can be performed rapidly using pre-collected data rather than gathering information from scratch.

The patent replaces traditional mechanical analysis methods with machine-learning-based automated processing. The system uses algorithms to automatically analyze organizational data, determine integrity indicators, and generate continuity assessments without manual intervention. This substitution of automated intelligent processing for manual mechanical analysis significantly reduces processing time while maintaining high reliability.