Information Leak Prevention
Document image analysis system for preventing confidential data leaks.
Challenge
The security department of a financial company had identified cases of confidential data leaks through document photographs and scans. Existing DLP systems could not analyze image content. A tool was needed that could automatically determine a document's confidentiality level based on its visual content.
Solution
The system analyzes document scans and photographs, extracts text and metadata using OCR and computer vision methods. The model classifies documents by confidentiality level, detects atypical access patterns, and automatically alerts on potential violations. Integrated with the corporate SIEM system.
Results
Technologies
Approach
Existing leak channel audit
Analyzing incidents, identifying primary channels and document types vulnerable to leaks.
CV + OCR + classification pipeline development
Building the image processing pipeline: detection, text recognition, content classification.
Training on client's labeled data
Training the model on real documents with various confidentiality levels.
SIEM integration and monitoring launch
Connecting to the security incident management system, configuring alerts and dashboards.
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