Insider Threat Reporting Using Image-Encoded Behavioral Analysis
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Solution Overview
Problem
Existing systems struggle to effectively detect and report insider threats due to their insider status, which makes them harder to identify and the use of proprietary and personal data in training data complicates model benchmarking and comparison.
Innovation Solution
A report generation mechanism analyzes image-encoded behavioral information to detect potential malicious activity, using trained models to generate reports on the nature and type of such activity, and employs novel contrastive learning mechanisms to improve training data efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional training data using proprietary and personal data is used, then model training can be performed, but model benchmarking and comparison become complicated
Solution Approach 1:
The patent uses synthetic data generation to create copies of realistic insider threat scenarios without using actual proprietary or personal data. This allows model training to proceed with realistic patterns while avoiding the complications of benchmarking with sensitive real-world data.
Solution Approach 2:
The system transforms real insider threat data into synthetic representations by changing key parameters - replacing actual personal identifiers and proprietary information with synthesized equivalents that maintain behavioral patterns but eliminate data sensitivity issues for benchmarking.
2Productivity
If image encoding is used to represent employee behavior, then behavioral analysis can be performed, but detection of subtle malicious behavior becomes more challenging
Solution Approach 1:
The patent encodes behavioral data into image representations, transitioning from tabular or sequential data to a spatial dimension. This allows convolutional neural networks to detect patterns in behavioral images, improving both efficiency and precision in identifying subtle malicious behaviors through visual pattern recognition.
Solution Approach 2:
The image encoding acts as an intermediary representation that bridges raw behavioral data and detection algorithms. This intermediate format enables more effective pattern recognition while preserving the nuanced details needed for detecting subtle malicious behaviors.
Data Source
AI summary
A system is disclosed. The system includes at least one physical memory device to store report generation logic and one or more processors coupled with the at least one physical memory device to execute the report generation logic to receive image data including a behavioral information, receive text data comprising a plurality of candidate reports, generate a plurality of image-report encodings based on the image data and the text data and generate a report based on the image-report encodings.