Redgate Test Data Manager AI
Page last updated 12 November 2025
Published 11 November 2025
For Redgate AI-related questions that aren't answered here, please contact support@red-gate.com
Redgate AI is the collective term for all AI-powered features and capabilities that span across Redgate's software portfolio.
Individual Redgate AI features can have differing implementations, leveraging :-
- Third party LLMs
- Redgate's own hosted custom models
- On-device machine learning solutions
Product - LLMs
2. Redgate models 3. On-device SQL Prompt ✓ ✓ (Query Index Analysis)
Redgate Monitor ✓*
✓ (Dynamic Alerting) Redgate Flyway (coming soon) ✓*
Redgate Test Data Manager ✓
✓ (AI Data Classification)
*coming soon
Please consult the relevant product documentation for more details on the individual AI features.
Redgate AI features are opt in. End users will need to sign up and opt in to use Redgate AI features. Please consult the relavant product documentation on how to achieve this.
Please contact support@red-gate.com to add your domain names to a block list to prevent the use of the AI features.
Access to Redgate AI features can be enabled/disabled at a per-product level.
Redgate AI makes all AI requests to *.redgate-platform.com
If your organization enforces it, you willl need to set this subdomain in your firewall rules and allow lists to enable Redgate AI features.
- No data stored in tables is sent.
- Information sent to Redgate AI service is used only to construct the response and isn't retained by the service.
- Some Redgate AI capabilities rely on context saved in a locally installed vector database.
Detail on the specifics of the information sent to the Redgate AI service is outlined in the per product documentation.
Redgate LLM features are powered by three different public AI models in combination to provide the best possible outcome (all subject to our privacy guidance). These are all hosted on Redgate’s Amazon Bedrock server.
- Claude-3-7-Sonnet
- Cohere.Embed-multilingual-v3
- Amazon.nova-lite-v1:0
They are hosted in Frankfurt, London, Ireland, and Paris.
- No, we do not use any external data
- Our models are the same as those available for public usage (see models used)
- The data is used to fulfill the needs of the Redgate AI-powered feature.
- Redgate agrees to not use customers input data for training models other than for use by the customer.
- Redgate does not store customer data for longer than it needs to fulfill the AI-powered feature.
Further resources:
- Third party AI providers (subprocessors)
- Redgate privacy notice
- SQL Prompt AI data handling
Resource Description Redgate EULAs 10.14 - use of Third Party AI in Redgate Software.
Product Specific Terms 8.3 Use of LLMs in SQL Prompt
26.4 Use of Third Party AI services in Redgate Test Data Manager
Redgate privacy notice Legal information including our privacy policy, data protection and use of information.
Security at Redgate (pdf) Document outlining Redgate’s security practices and processes.
Product security policy Redgate's product security policy
Redgate Trust Center Company information on privacy, security, certification, and compliance.
Information collected by Redgate products Outline of information collected to improve product quality and features.
Third party AI providers Subprocessors used by Redgate Environment services
For Redgate AI-related questions that aren't answered here, please contact support@red-gate.com
Redgate AI is the collective term for all AI-powered features and capabilities that span across Redgate's software portfolio.
Individual Redgate AI features can have differing implementations, leveraging :-
- Third party LLMs
- Redgate's own hosted custom models
- On-device machine learning solutions
| Product |
| 2. Redgate models | 3. On-device |
|---|---|---|---|
| SQL Prompt | ✓ | ✓ (Query Index Analysis) | |
| Redgate Monitor | ✓* | ✓ (Dynamic Alerting) | |
| Redgate Flyway (coming soon) | ✓* | ||
| Redgate Test Data Manager | ✓ | ✓ (AI Data Classification) |
*coming soon
Please consult the relevant product documentation for more details on the individual AI features.
Redgate AI features are opt in. End users will need to sign up and opt in to use Redgate AI features. Please consult the relavant product documentation on how to achieve this.
Please contact support@red-gate.com to add your domain names to a block list to prevent the use of the AI features.
Access to Redgate AI features can be enabled/disabled at a per-product level.
Redgate AI makes all AI requests to *.redgate-platform.com
If your organization enforces it, you willl need to set this subdomain in your firewall rules and allow lists to enable Redgate AI features.
- No data stored in tables is sent.
- Information sent to Redgate AI service is used only to construct the response and isn't retained by the service.
- Some Redgate AI capabilities rely on context saved in a locally installed vector database.
Detail on the specifics of the information sent to the Redgate AI service is outlined in the per product documentation.
Redgate LLM features are powered by three different public AI models in combination to provide the best possible outcome (all subject to our privacy guidance). These are all hosted on Redgate’s Amazon Bedrock server.
- Claude-3-7-Sonnet
- Cohere.Embed-multilingual-v3
- Amazon.nova-lite-v1:0
They are hosted in Frankfurt, London, Ireland, and Paris.
- No, we do not use any external data
- Our models are the same as those available for public usage (see models used)
- The data is used to fulfill the needs of the Redgate AI-powered feature.
- Redgate agrees to not use customers input data for training models other than for use by the customer.
- Redgate does not store customer data for longer than it needs to fulfill the AI-powered feature.
Further resources:
- Third party AI providers (subprocessors)
- Redgate privacy notice
- SQL Prompt AI data handling
| Resource | Description |
|---|---|
| Redgate EULAs | 10.14 - use of Third Party AI in Redgate Software. |
| Product Specific Terms | 8.3 Use of LLMs in SQL Prompt 26.4 Use of Third Party AI services in Redgate Test Data Manager |
| Redgate privacy notice | Legal information including our privacy policy, data protection and use of information. |
| Security at Redgate (pdf) | Document outlining Redgate’s security practices and processes. |
| Product security policy | Redgate's product security policy |
| Redgate Trust Center | Company information on privacy, security, certification, and compliance. |
| Information collected by Redgate products | Outline of information collected to improve product quality and features. |
| Third party AI providers | Subprocessors used by Redgate Environment services |
Product specific information
See "Custom datasets with AI"
Please refer to "Which third party LLMs are used by Redgate AI".
See "Custom datasets with AI"
When using the AI custom datasets feature, we only send the prompt that the user types to the LLM to generate a suitable dataset.
Redgate Test Data Manager does not inspect or record the prompts or the resulting datasets on Redgate's infrastructure or in AWS.
Redgate may collect usage metrics to help enhance the Redgate Test Data Manager AI experience. These metrics include which AI features are used, how they are used, and how frequently. However, no query content, SQL history, schema details, database data, or any other database information is collected, stored, or accessible by Redgate.
Currently Redgate Test Data Manager's AI features can be disabled from the configuration file.
To disable AI custom datasets, navigate to your Redgate Test Data Manager installation directory (default is C:\Program Files\Red Gate\Test Data Manager), open config.yml and set the value of the "AiCustomDatasets" property to False. Then save the file and restart the Redgate Test Data Manager service.
