Automated Security Agent for Computing System Issue Resolution
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Solution Overview
Problem
Current computing systems lack an efficient method to rapidly resolve technical issues such as software glitches, system instability, and unauthorized activity, often requiring manual intervention and relying on outdated support systems.
Innovation Solution
A software-based automated security agent continuously monitors computing systems, captures contextual data, and uses a resolution database to identify and automatically implement remediation solutions, leveraging fuzzy algorithms and user input for precise issue resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual intervention is used to resolve technical issues, then user control and verification are improved, but resolution time and efficiency deteriorate
Solution Approach 1:
The system enables self-service by allowing the automated agent to independently search for issues using captured contextual data, retrieve relevant solutions from the database, and execute remediation actions without requiring continuous manual intervention. The user only needs to initiate the process and can review actions before confirmation, achieving both automation speed and user control.
Solution Approach 2:
The system performs preliminary actions by continuously capturing and storing contextual data about the computing system environment before issues occur. When an issue arises, this pre-captured data is immediately available for search and diagnosis, eliminating the time needed for data collection during incident response while maintaining accurate system state information.
2Productivity
If automated resolution is implemented, then resolution speed and efficiency are improved, but system complexity and automation extent worsen
Solution Approach 1:
The automated agent is designed as a universal multi-functional system that can capture various types of contextual data (process information, system logs, performance metrics), search across diverse issue types, retrieve multiple solution formats, and execute different remediation actions. This consolidation of multiple functions into a single agent reduces overall system complexity while maintaining high resolution efficiency.
Solution Approach 2:
The system introduces an automated agent as an intermediary between the user and the complex resolution database. The agent handles the complexity of data capture, issue matching, solution retrieval, and remediation execution, while the user interacts only with simple initiation and confirmation commands. This intermediary absorbs the system complexity while delivering efficient automated resolution.
3Measurement precision
If comprehensive system monitoring is performed, then issue detection accuracy is improved, but data collection overhead and resource usage worsen
Solution Approach 1:
The system applies local quality by capturing contextual data selectively based on the specific issue type detected. Rather than continuously monitoring all system parameters at maximum detail, the agent captures only the relevant data needed for the current issue (e.g., process information for application errors, system logs for crashes, performance metrics for instability). This targeted approach maintains high detection accuracy while minimizing resource overhead.
Data Source
AI summary
A system is provided for resolution of technical issues using computing system-specific contextual data. In particular, the system may comprise a software-based automated security agent that may run in the memory of a computing system within a network. The security agent may continuously monitor the computing system to capture precise information about the computing system at all points in time. When the computing system encounters a technical issue, the system may then use the data collected by the security agent to execute a search within a resolution database to provide a solution to the technical issue. In some embodiments, the system may further comprise a remediation engine which may cause the security agent to automatically implement the solution. In this way, the system provides an expedient way to resolve technical issues in computing systems within the network environment.