Context-Aware Data Leakage Prevention Using NLP Risk Profiles

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Solution Overview

Problem

Traditional access control methods fail to prevent data leakage by not considering the context in which sensitive information is used, leading to accidental or intentional misuse.

Innovation Solution

A computer-implemented system that analyzes documents using natural language processing to determine the context of sensitive information and assigns risk scores based on sender and receiver profiles, deciding whether to block or allow document transfer based on predefined rules.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If access control is implemented to restrict access to sensitive information, then data security is improved, but the system cannot detect improper context usage leading to data leakage

Engineering Contradiction:
Improvedata securityVSAvoidcontext analysis capability
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary data leakage prevention system that sits between the user and the document transfer process. This intermediary system analyzes the document content, recipient information, and communication context to determine whether transfer should be blocked, thereby enhancing security without requiring changes to the core access control system.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary analysis of the document and communication context before the actual transfer occurs. By evaluating risk scores based on document sensitivity, recipient profiles, and communication patterns in advance, the system prevents potential data leakage before it happens, rather than reacting after the fact.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If context analysis is added to access control, then data leakage prevention is improved, but system complexity and processing time increase

Engineering Contradiction:
Improvedata leakage preventionVSAvoidsystem architecture
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the data leakage prevention system into distinct functional modules: document analysis module, recipient analysis module, risk score calculation module, and decision module. Each module performs a specific function, making the overall complex system manageable and maintainable while providing comprehensive context analysis.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system automatically analyzes documents and communicates without requiring manual intervention. The automated risk assessment and decision-making processes eliminate the need for human reviewers, reducing operational complexity while maintaining high security standards.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If comprehensive document analysis is performed, then detection precision is improved, but processing speed decreases

Engineering Contradiction:
Improvesensitive information detectionVSAvoiddocument transfer speed
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The system applies partial analysis based on risk levels. For low-risk communications, only basic checks are performed, allowing fast transfer. For high-risk or sensitive documents, comprehensive analysis is conducted. This selective approach maintains detection precision for critical cases while preserving processing speed for routine communications.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The system dynamically adjusts analysis parameters such as detection sensitivity and processing depth based on document characteristics, recipient profiles, and communication context. By changing these parameters adaptively, the system achieves high detection precision when needed while maintaining fast processing for low-risk scenarios.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20240419819A1Context-aware data leakage prevention system using natural language processing and risk profiles
Publication Date: 2024.12.19 SAUDI ARABIAN OIL CO
  • US20240419819A1 patent drawing
  • US20240419819A1 patent drawing
  • US20240419819A1 patent drawing

AI summary

Systems and methods include a computer-implemented method for blocking the transfer of sensitive information. A document is analyzed by a leakage prevention system for sensitive information. The document is sent by a sender to at least one receiver. A context in which sensitive information is used in the document is determined. A sender risk profile of the sender and receiver risk profiles of the at least one receiver are determined. Risk scores for the sender and the at least one receiver are determined using predefined rules and the sender/receiver risk profiles. The risk scores identify a use level of sensitive information in the document. A determination is made by the leakage prevention system, based at least on the risk scores, whether to block a transfer of the document or to allow a transfer of the document. The document is transferred or blocked based on the determination.