Automated Policy Repair Modules for Validation Errors
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Solution Overview
Problem
Conventional policy validation processes are time-consuming and require manual approval, often resulting in errors during policy changes due to the need for manual intervention and lengthy approval procedures, which can lead to policy failures in production environments.
Innovation Solution
A multi-stage process utilizing a pool of repair modules to automatically identify and correct policy errors, where repair modules are selected based on detected errors, and commands are generated and applied to resolve these errors, allowing for automated policy repair without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual approval procedures are used for policy changes, then policy accuracy can be ensured through supervisor review, but the time required for policy updates increases significantly
Solution Approach 1:
The validation process performs preliminary checks on policy syntax and configuration before deployment to production environment. The system automatically validates policies against predefined rules and schemas, identifying errors early in the process rather than requiring manual review to catch basic mistakes. This preliminary automated validation maintains reliability while reducing the time burden on supervisors.
Solution Approach 2:
The system enables self-service policy validation where the policy management system automatically checks and verifies policy correctness without requiring manual supervisor intervention for routine validations. The automated validation engine performs syntax checking, schema verification, and conflict detection independently, freeing supervisors to focus only on complex policy decisions rather than routine accuracy checks.
2Productivity
If automated validation is implemented, then policy errors can be detected faster, but the complexity of the validation system increases
Solution Approach 1:
The validation system is segmented into distinct modular components: syntax validators, schema checkers, conflict detectors, and compliance verifiers. Each module handles a specific aspect of policy validation independently, making the overall complex validation process manageable through composition of simpler, specialized components. This modular architecture enables fast error detection while keeping individual validation modules relatively simple.
Solution Approach 2:
The validation system employs universal validators that can check multiple policy types and configurations using the same core validation engine. Rather than creating separate complex validation systems for different policy kinds, the system uses multi-functional validation rules and schemas that adapt to various policy formats, reducing overall system complexity while maintaining high productivity.
3Reliability
If multiple validation checks are performed on policies, then policy reliability improves, but the time required for policy changes increases
Solution Approach 1:
The validation process uses periodic checking where policies are validated at key stages (submission, modification, deployment) rather than continuously monitoring every change. This staged validation approach performs comprehensive checks at critical points while allowing faster processing between stages, maintaining policy reliability without excessively extending the overall policy change duration.
Solution Approach 2:
The system implements selective validation where routine or low-risk policy changes undergo expedited validation with fewer checks, while complex or high-risk changes receive comprehensive multi-stage validation. The system can skip certain validation steps for trusted or standardized policies, rushing through the validation process when full reliability checks are not necessary, thus balancing policy reliability with change duration.
Data Source
AI summary
A control computer implements a multi-stage process to automatically repair errors in a policy using selectable, pluggable repair modules. In the first stage, the control computer identifies the errors that caused the policies to fail the validation process, and associates the errors with corresponding repair modules. The repair modules comprise information that is needed to correct or repair the errors. In the second stage, the control computer generates commands for correcting the errors based on the information in the repair modules. In a third stage, the control computer applies the commands to the policies that failed the validation process to correct the errors.