Automated IT User Behavior Rule Generation
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Solution Overview
Problem
Existing methods for managing IT user behavior to minimize network security risks and protect proprietary data are inefficient, as they rely on manual enforcement of cybersecurity policies, which can lead to compliance gaps and increased cybersecurity threats.
Innovation Solution
Automatically generating cybersecurity rules from electronic documents using natural language processing (NLP) to monitor and enforce IT user behavior, including the extraction of textual indicators and generation of remedial actions for unapproved behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual enforcement of cybersecurity policies is used, then implementation simplicity is maintained, but compliance monitoring efficiency deteriorates
Solution Approach 1:
The system automatically extracts cybersecurity rules from electronic documents and generates monitoring rules without human intervention. The processor autonomously parses documents, identifies rules, and configures monitoring parameters, enabling the system to serve itself rather than requiring manual enforcement.
Solution Approach 2:
The patent replaces manual mechanical enforcement processes with automated electronic processing. Natural language processing algorithms and automated rule extraction systems substitute for human analysts who would manually review policies and configure monitoring tools.
2Measurement precision
If automated rule generation from electronic documents is implemented, then compliance detection accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary extraction and structuring of rules from electronic documents during off-peak times or as part of document ingestion processes. By pre-processing and organizing rule data before monitoring is needed, the system reduces real-time processing requirements while maintaining high detection accuracy.
Data Source
AI summary
Textual indicators are extracted from an electronic document. A rule for monitoring information technology user behavior is generated from the extracted textual indicators.


