Contextualized Access Intelligence for Permissions-Aware Enterprise Search
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Solution Overview
Problem
Existing search systems struggle to provide relevant search results within organizations due to unique content and limited user interactions, making it difficult to learn from usage patterns and user feedback, and there is a need for improved search result ranking and access control in enterprise environments.
Innovation Solution
A permissions-aware search and knowledge management system that utilizes search evaluation sets, deep learning models, and access control lists to dynamically generate and apply automated search evaluations, incorporating user feedback and contextualized access intelligence to improve search relevance and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional search systems are used in enterprise environments, then basic search functionality is provided, but search result relevance deteriorates due to unique content and limited user interactions
Solution Approach 1:
The system implements feedback mechanisms by capturing user interactions with search results (clicks, views, downloads) and using this feedback to continuously refine search evaluation models. This allows the system to learn from actual user behavior patterns and improve search relevance over time, directly addressing the loss of user feedback information in traditional search systems.
Solution Approach 2:
The search system performs self-evaluation by automatically generating search evaluation sets and comparing actual search results against expected results. This self-service capability enables the system to detect and correct its own performance issues without external intervention, improving search relevance through automated learning from enterprise data.
2Reliability
If access control lists are integrated into search systems, then security is improved, but search performance deteriorates due to additional processing requirements
Solution Approach 1:
The system performs preliminary access control evaluations during the indexing phase, pre-determining which documents should be returned based on user permissions and access control lists. This advance preparation allows the search system to quickly retrieve and present only authorized documents during actual search queries, maintaining security while improving search performance.
Solution Approach 2:
The system introduces search evaluation sets as an intermediary mechanism that bridges access control requirements with search performance. These evaluation sets act as a mediator layer that pre-processes access control information, allowing the search system to efficiently match user permissions with document access rights without adding significant processing overhead to the search operation itself.
3Reliability
If automated search evaluations are implemented, then search system issues are detected and corrected, but device complexity increases
Solution Approach 1:
The system segments the search evaluation process into distinct, manageable components: search evaluation set generation, actual search execution, result comparison, and issue detection. This segmentation allows each component to be developed, tested, and maintained independently, reducing overall system complexity while improving reliability through specialized functionality.
Solution Approach 2:
The system creates copies of search results and expected results to compare against each other. By generating search evaluation sets that represent expected outcomes, the system can automatically detect deviations and issues without requiring complex real-time analysis, simplifying the architecture while maintaining high accuracy in search system monitoring.
Data Source
AI summary
Methods, systems, apparatuses, and products for providing enterprise-aware data security posture management using contextualized access intelligence, including: maintaining enterprise-specific context learned from data sources independent of data objects analyzed by a data security posture management (DSPM) solution; determining, based at least in part on the enterprise-specific context, an action to be performed by the DSPM solution; and performing the action by the DSPM solution.