Automated Forensic Agent for Error-Specific Root Cause Data Capture

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing systems face challenges in efficiently and timely collecting targeted system information for root cause analysis of errors, leading to prolonged downtime and increased costs due to the loss of transient system state and irrelevant log data collection.

Innovation Solution

An intelligent automated forensic agent that continuously monitors the system for errors, uses a command script database to execute targeted commands for data collection, and persists the data for subsequent analysis, reducing the need for manual intervention and ensuring data availability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If manual log collection is performed for error analysis, then comprehensive system information can be gathered, but significant time is lost and transient system state data is lost

Engineering Contradiction:
Improvesystem informationVSAvoidtime
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The automated forensic agent is pre-configured with error code patterns and associated command scripts in a database. When an error occurs, the agent immediately matches the error code against the database and executes the predetermined collection commands, eliminating the need for manual analysis and preserving transient system state before it disappears.

Inventive Principle:
Principle #10Preliminary action

2Loss of information

If comprehensive log collection is performed, then complete system information is available, but irrelevant data increases analysis complexity

Engineering Contradiction:
Improvesystem informationVSAvoiddata collection complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The automated forensic agent extracts only the specific system information relevant to the particular error code that occurred. By maintaining a database that maps error codes to targeted collection commands, the agent pulls out only the necessary logs and system state data related to the specific error, excluding all irrelevant information and reducing analysis complexity.

Inventive Principle:
Principle #2Taking out (Extraction)

3Productivity

If automated error monitoring is implemented, then rapid error detection is achieved, but system resource consumption increases

Engineering Contradiction:
Improveerror detection speedVSAvoidsystem resource consumption
Core Design Contradiction:
ProductivityVSUse of energy by moving object

Solution Approach 1:

The automated forensic agent operates autonomously by continuously monitoring system logs for error codes, automatically matching them against the stored database patterns, and executing the corresponding collection commands without human intervention. This self-service capability enables rapid error detection while optimizing resource usage through automated decision-making rather than manual processes.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12608265B2Intelligent automated forensic agent
Publication Date: 2026.04.21 DELL PROD LP
  • US12608265B2 patent drawing
  • US12608265B2 patent drawing
  • US12608265B2 patent drawing

AI summary

An intelligent automated forensic agent continuously monitors a processing system for errors. The intelligent automated forensic agent includes a command script database containing entries correlating error codes with command scripts. Whenever an error is identified on the processing system, the intelligent automated forensic agent determines the type of error, and uses the type of error to determine whether there is an entry for the type of error in the command script database. In response to a determination that the command script database includes an entry for the error type, the intelligent automated forensic agent runs the corresponding commands of the command script to collect whatever data is needed for root cause analysis by any available method. The commands may include searching and saving log records, running commands that shows a configuration setting or state, or executing other pre-existing commands. The collected information is persisted for use in root cause analysis.