When you use ChatGPT via Azure OpenAI, your prompts and responses stay inside your Azure tenant. They are not used to train OpenAI's foundation models. Data is processed and stored under Microsoft's enterprise compliance standards. Your data is NOT available to other customers, OpenAI, or used to improve any models.
GARANTIS provides AI Plugin for Polarion ALM
Developed by GARANTIS IT Solutions, Java plugin, connects to Azure or directly to ChatGPT.
The idea is quite simple - help to write and re-write single requirements in a better way.
How it works:
- In workitem there is a status-change function "Get advice from AI". It takes any field of workitem (for example Description), sends it to AI and receives updated text data
- The plugin writes the updated text into another field "Update from AI" inside workitem
- User reviews the data and can copy-paste the good parts from AI generated text
- All changes are documented in history of workitem
Would be your COMPANY interested in such idea?
AI Plugin for Polarion ALM
Artificial Intelligence That Works for You
Convenient Price Model
pay once, use for years
keep using the plugin without subscription fees
Customers & Industries
This AI Plugin for Polarion ALM is used across multiple domains where requirements quality matters most.
Home Electronics Company
- located in Germany
- uses different prompts
- improves quality of requirements
Medical Company
- located in Germany
- improves & reviews requirements
How does it work technically
Question:
How does it work technically? What is the data stream (e.g. going from our Polarion server in our Azure tenant, to OpenAI systems)?
Answer:
The diagram below shows the technical side:
- Plugin is located in Polarion (java plugin)
- User selects a workitem and click button to send one Text Field to AI. Different prompt can be used to perform different processing by AI (INCOSE, Test Case generation, safety analysis, etc)
- Plugin received from AI the new updated text and saves it into field "Description from AI".
- User analyses both fields and can copy improved text from one field to another.
Security:
- Azure or Google provides "isolated LLM for one company" - your Azure tenant
- Data is sent via HTTPS using REST API request
- Source code can be inspected (on demand)
Want to try the AI Plugin NOW ?
Send your request to info@garantis-solutions.com
Security for your IP - Sending proprietary data to LLM
Question:
Can you tell more regarding the Azure option?
Obviously sending proprietary data to a LLM is a key Intellectual Property (IP) concern.
Answer:
Here is information about "Azure OpenAI in Azure AI Foundry Models"
Data isolation
- When you use ChatGPT via Azure OpenAI, your prompts and responses stay inside your Azure tenant.
- They are not used to train OpenAI's foundation models.
- Data is processed and stored under Microsoft's enterprise compliance standards.
Your prompts (inputs) and completions (outputs), your embeddings, and your training data:
- are NOT available to other customers.
- are NOT available to OpenAI.
- are NOT used to improve OpenAI models.
- are NOT used to train, retrain, or improve Azure OpenAI Service foundation models.
- are NOT used to improve any Microsoft or third party products or services without your permission or instruction.
- Your fine-tuned Azure OpenAI models are available exclusively for your use.
Link to Microsoft documentation: Microsoft Azure OpenAI Data Privacy
What is Azure OpenAI in Azure AI Foundry Models?
Link to Microsoft documentation: Microsoft Azure OpenAI Overview
Azure OpenAI provides REST API access to OpenAI's powerful language models including gpt-5 series, o4-mini, o3, gpt-4.1, o3-mini, o1, o1-mini, GPT-4o, GPT-4o mini, GPT-4 Turbo with Vision, GPT-4, GPT-3.5-Turbo, and Embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, image understanding, semantic search, and natural language to code translation. Users can access the service through REST APIs, Python/C#/JS/Java/Go SDKs.
Comparing Azure OpenAI and OpenAI
Azure OpenAI gives customers advanced language AI with OpenAI GPT-4, GPT-3, Codex, GPT-image-1 (preview), DALL-E, speech to text, and text to speech models with the security and enterprise promise of Azure. Azure OpenAI co-develops the APIs with OpenAI, ensuring compatibility and a smooth transition from one to the other.
With Azure OpenAI, customers get the security capabilities of Microsoft Azure while running the same models as OpenAI. Azure OpenAI offers private networking, regional availability, and responsible AI content filtering.
Pricing Policy
Convenient: pay once, use for years.
- One-time license for the AI Plugin for Polarion ALM.
- Perpetual use: keep using the plugin without mandatory subscription fees, pay only maintenance.
Ready to proceed? Contact us to get your quote or request an invoice.
What GARANTIS offers
Plugin for Polarion to send data to Azure LLM models or to ChatGPT
The Azure OpenAI Service is operated by Microsoft as an Azure service; Microsoft hosts the OpenAI models in Microsoft's Azure environment and the Service does NOT interact with any services operated by OpenAI (e.g. ChatGPT, or the OpenAI API).
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Contact UsFAQ's
Can you tell more regarding the Azure option? Obviously sending proprietary data to a LLM is a key IP concern.
How does it work technically? What is the data stream?
The plugin is located in Polarion as a Java plugin. User selects a workitem and clicks a button to send one text field to AI. Different prompts can be used for different processing (INCOSE, Test Case generation, safety analysis, etc). The plugin receives updated text from AI and saves it into a "Description from AI" field. Data is sent via HTTPS using REST API requests.
What AI models are supported by the plugin?
The plugin supports Azure OpenAI models including GPT-5 series, o4-mini, o3, gpt-4.1, o3-mini, o1, o1-mini, GPT-4o, GPT-4o mini, GPT-4 Turbo with Vision, GPT-4, GPT-3.5-Turbo, and Embeddings model series. These models can be adapted for content generation, summarization, image understanding, semantic search, and natural language to code translation.
Is the source code available for inspection?
Yes, the source code can be inspected on demand. This provides transparency and allows you to verify the security and functionality of the plugin before implementation.
Would be your COMPANY interested in such idea?
Contact us to discuss how the AI Plugin can benefit your organization. We offer evaluation versions, full implementations, and custom solutions tailored to your specific needs and requirements.
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We are happy to show you how Garantis can expand your business opportunities. Book a meeting and we will discuss all the details with you and your team.