Proactive Risk Assessment for Computing Environment Changes
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Solution Overview
Problem
Current risk assessment technologies do not proactively assess risks associated with proposed changes in a computing environment and fail to provide explanations for these risks, leading to increased operational risks.
Innovation Solution
A system that identifies change events in historic operational data, employs a model to assign a change risk assessment score, and provides explanations for the score by analyzing features in change data, enabling proactive operational risk assessment and reduction of risks in computing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current risk assessment technologies are used, then operational risk is assessed, but the assessment is not proactive and lacks explanation
Solution Approach 1:
The system performs preliminary risk assessment by analyzing historic operational data and identifying change events that induced incidents before implementing new changes. The risk assessment model proactively evaluates proposed changes against historical incident patterns, enabling organizations to take preventive actions before incidents occur, rather than reacting after problems arise.
2Measurement precision
If current risk assessment technologies are used, then risk scores are provided, but no explanation of the risk is given
Solution Approach 1:
The system provides feedback by generating explanations that link risk assessment scores to specific historical incident patterns and change events. The explanation component analyzes the relationship between proposed changes and historical incidents, providing actionable insights about why a particular risk score was assigned and what specific patterns match the current change scenario.
3Reliability
If proactive risk assessment with explanations is implemented, then operational risk is reduced, but system complexity increases
Solution Approach 1:
The system achieves multi-functionality by combining historical data analysis, incident pattern recognition, risk scoring, and explanation generation within a single integrated platform. The risk assessment model serves multiple purposes: it evaluates proposed changes, compares them against historical incidents, generates risk scores, and provides explanations all in one system, reducing the need for separate tools and processes.
Data Source
AI summary
Systems, computer-implemented methods, and computer program products to facilitate proactive operational risk assessment of a proposed change in a computing environment are provided. According to an embodiment, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise an extraction component that identifies change events in historic operational data that induced one or more incidents in a computing environment. The computer executable components further comprise an assessment component that employs a model to assign a change risk assessment score to a defined change in the computing environment based on the change events.