AI Password Rotation Workflow for Low-Downtime Credential Updates
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Solution Overview
Problem
Existing systems face challenges in efficiently and automatically rotating passwords for multiple users without causing downtime, especially as password requirements become stricter and manual updates become more difficult.
Innovation Solution
A system using artificial intelligence (AI) to identify password rotation requirements, generate updated passwords, validate them, and automatically implement the changes, utilizing a machine learning model and AI bot to optimize the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual password updates are implemented, then password rotation can be performed, but system downtime occurs and productivity decreases
Solution Approach 1:
The system performs password rotation automatically without human intervention. The password rotation module detects expiration, generates new passwords, validates them, and updates applications autonomously, eliminating the need for manual updates and preventing system downtime.
Solution Approach 2:
The system generates and validates new passwords before the current password expires. By performing preliminary password rotation actions, the system ensures continuous availability and avoids service interruption that would occur if rotation waited until expiration.
2Productivity
If AI-based automatic password rotation is implemented, then productivity increases and downtime is minimized, but device complexity increases
Solution Approach 1:
The password rotation system is divided into distinct modular components: password generation module, validation module, orchestration engine, and application update module. Each component handles a specific task, making the complex process manageable and maintainable while achieving high automation efficiency.
Solution Approach 2:
The orchestration engine acts as an intermediary that coordinates between the password generation module, validation module, and application update processes. It manages the workflow, handles errors, and ensures proper sequencing of operations, reducing overall system complexity through centralized coordination.
3Loss of time
If multiple applications are updated simultaneously, then time efficiency improves, but system stability decreases
Solution Approach 1:
The system performs preliminary validation of new passwords and tests updates on less critical applications before deploying to all systems. This staged approach reduces risk while maintaining efficiency, allowing the system to learn from initial updates and adjust subsequent deployments accordingly.
Solution Approach 2:
The system implements feedback mechanisms where each application update result is monitored and fed back to the orchestration engine. Successful updates confirm the new password works, while failures trigger rollback procedures or alternative approaches, ensuring high success rates even when updating multiple applications.
Data Source
AI summary
Systems, computer program products, and methods are described herein for automatically generating and implementing password rotations using artificial intelligence. The present invention is configured to identify at least one password rule associated with at least one application; train a machine learning model by applying the at least one password rule; determine, by the trained machine learning model, whether a password rotation requirement is present for the at least one application; generate, by an artificial intelligence (AI) bot, an updated password for the at least one application in an instance where the password rotation requirement is present; validate the updated password for the at least one application; and automatically update, based on the validation of the updated password, the at least one application with the updated password.