AI Role-Based Access Recommendations From Security Log Clustering
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Solution Overview
Problem
Conventional security analytics platforms face inefficiencies and human error in manually determining data access controls, leading to potential data leaks and frequent reconfigurations due to misconfigured access rights.
Innovation Solution
Implementing an AI-based system that generates role-based access control recommendations by clustering security logs and using generative AI models to create tailored data access groups, reducing manual effort and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual methods are used to determine data access controls, then flexibility in configuration is maintained, but human error increases leading to data leaks and frequent reconfigurations
Solution Approach 1:
The system automatically generates data access groups by analyzing security logs and determining access rights without manual intervention. The processor autonomously clusters security logs, identifies access patterns, and creates access control configurations, eliminating human error while maintaining operational efficiency.
Solution Approach 2:
Manual mechanical processes of analyzing security logs and configuring access rights are replaced with an automated computational system. The processor executes algorithms to cluster logs and generate access groups, substituting human cognitive and manual operations with automated digital processing.
2Productivity
If automated AI-based systems are implemented to generate access control recommendations, then accuracy and speed improve, but system complexity increases
Solution Approach 1:
The automated system is divided into distinct functional modules: security log acquisition, log clustering based on key-value pairs, access right determination, data access group generation, and validation against existing groups. This segmentation manages complexity by organizing the automated process into manageable, independent stages.
Solution Approach 2:
The system introduces intermediate processing stages including security log clustering and access right determination that bridge the gap between raw security data and final access control configurations. These intermediaries simplify the overall process by breaking down complex transformations into sequential, manageable steps.
3Reliability
If manual determination of data access controls is used, then system simplicity is maintained, but data leaks occur due to misconfiguration
Solution Approach 1:
The system performs preliminary analysis of security logs and pre-determines appropriate access rights before actual data access operations occur. By clustering logs and generating access groups in advance, the system ensures security configurations are ready and validated before deployment, preventing data leaks proactively.
Solution Approach 2:
The system validates generated data access groups against existing groups to ensure consistency and detect potential security issues. This feedback mechanism compares new configurations with established patterns, identifying anomalies that could lead to data leaks and allowing corrections before implementation.
Data Source
AI summary
A method for role-based access control recommendation includes obtaining one or more security logs from a security analytics platform. The method includes determining access rights to the one or more security logs for one or more users of the security analytics platform. The determining includes generating one or more clusters of security logs based on the one or more security logs. The determining includes providing, to a user of the security analytics platform, a recommendation for a first data access group for the security analytics platform based on a first cluster of the one or more clusters. The determining includes, responsive to input from the user of the security analytics platform, generating the first data access group for the security analytics platform based on the first cluster of the one or more clusters.