Structured Audit Logging Interface for Fast User Action Review
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Solution Overview
Problem
Existing logging systems output unstructured text data that is cumbersome for human reviewers to process, especially in large volumes, and lack efficient search and analysis capabilities, making it difficult to audit user interactions effectively.
Innovation Solution
A structured logging system that stores user interaction data with timestamps, user identifiers, category types, application contexts, and system outputs, enabling interactive user interfaces for efficient data presentation and analysis, including drag-and-drop functionality and statistical indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If unstructured text data is used for logging, then the logging system is simple to implement, but the data becomes cumbersome for human reviewers to process and analyze
Solution Approach 1:
The patent segments log data into structured fields including timestamp, user identifier, category type, application context, user input, and system output. This segmentation transforms unstructured text into organized, queryable components that are easier to process and analyze while maintaining implementation simplicity through standardized field definitions.
2Quantity of substance
If large volumes of log data are stored, then comprehensive auditing coverage is achieved, but manual review becomes impractical
Solution Approach 1:
The patent replaces manual mechanical review processes with automated computational systems. The structured format enables computer-based querying, filtering, and analysis operations that can efficiently process large volumes of log data without requiring human reviewers to manually examine each entry, thus preserving comprehensive auditing coverage while eliminating the time loss associated with manual review.
3Measurement precision
If detailed user interaction data is logged, then auditing accuracy is improved, but data retrieval and analysis complexity increases
Solution Approach 1:
The patent segments detailed user interaction data into distinct structured fields (timestamp, user identifier, category type, application context, user input, system output). This segmentation maintains auditing accuracy by preserving all relevant details while reducing retrieval complexity through organized field structure that enables targeted querying and filtering operations.
Solution Approach 2:
The patent changes the parameter organization from unstructured text to structured fields with defined data types and formats. This parameter transformation enables efficient database operations, indexing, and querying that reduce retrieval complexity while maintaining the precision needed for accurate auditing of user interactions.
Data Source
AI summary
Systems and methods are provided for improved auditing of user actions associated with a software application. The system includes functionality to log user actions in a structured, standardized way. The system includes interactive user interfaces for analyzing the logs. The logging is based on a well-defined categorization of available actions. The log information includes (and distinguishes among) user details, context details, user inputs, and/or system outputs (including identification of data objects). The interactive user interfaces enable a user to view structured log data in an efficient manner, such as by presenting logs in a tabular format, executing queries on the log data, and/or presenting visualizations that summarize the log data. The interactive user interfaces provide functionality that allows a user to investigate and/or audit user interactions with a data object. The interactive interfaces present log entries associated with the object(s) for further review by the reviewer.