GenAI Software Architecture Diagrams for Real-Time Audit Compliance
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Solution Overview
Problem
Large organizations face challenges in managing software architecture due to siloed environments among software architects, leading to incomplete or outdated diagrams during external audits.
Innovation Solution
An apparatus and method utilizing a multi-modal generative artificial intelligence (GenAI) model to generate and display software architecture diagrams based on runtime data and stored diagrams, enabling real-time visualization and identification of missing components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If software architects work in siloed environments managing individual software systems, then each architect can focus on their specific system, but the overall software architecture ecosystem becomes fragmented and architects become unaware of other systems
Solution Approach 1:
The patent combines multiple siloed software system diagrams into a single unified architecture diagram. The system aggregates diagrams from different software systems (email system, database system, etc.) and merges them into one comprehensive view that shows interconnections across the entire ecosystem, resolving the fragmentation caused by siloed management.
Solution Approach 2:
The generated unified architecture diagram serves multiple functions simultaneously: it provides individual system views for each software system, shows cross-system relationships for ecosystem-wide understanding, and enables audit compliance verification. This multi-functional diagram addresses both the need for focused system management and ecosystem visibility.
2Ease of manufacture
If architecture diagrams are created manually by architects or external users, then diagrams can be customized, but they become outdated and fail to reflect real-time software system states
Solution Approach 1:
The system implements continuous feedback loops where runtime data from software systems automatically updates the architecture diagrams. Event streams from the software systems provide real-time feedback about system state changes, which the GenAI model processes to regenerate updated diagrams, ensuring diagrams always reflect current system states rather than becoming outdated.
Solution Approach 2:
The architecture diagram generation becomes self-updating through automated processing of runtime events. The system automatically detects changes in software systems through event streams and regenerates diagrams without requiring manual intervention from architects or external users, maintaining real-time accuracy while preserving customization capabilities.
3Productivity
If external audits are performed with outdated architecture diagrams, then audit processes can be completed, but compliance gaps cannot be fully identified
Solution Approach 1:
The system performs preliminary actions by continuously maintaining up-to-date architecture diagrams before audits occur. Rather than creating diagrams at the time of audit, the system proactively generates and updates diagrams in real-time throughout operations, so when audits occur, accurate current-state diagrams are already available, enabling both quick completion and precise compliance verification.
Data Source
AI summary
An example operation may include one or more of training a generative artificial intelligence (GenAI) model based on architecture diagrams of a software architecture and descriptions of the architecture diagrams, displaying one or more prompts on a user interface, receiving one or more natural language responses associated with the software architecture in response to the one or more prompts, generating a text-based response to the natural language query submitted via the user interface based on execution of the GenAI model on the one or more prompts and the one or more natural language responses associated with the software architecture, and displaying the text-based response via the user interface.