I've set up an AI solution that automatically collects and analyzes logs and then sends email reports with suggested fixes. My tech architect is worried about data security, particularly since we're sending application log data to the AI. To tackle this, I've implemented data masking to ensure that sensitive information like IP addresses and host details isn't shared. Only error messages and exceptions are sent, and the AI seems to effectively suggest solutions even with this masked data.
Now, I'm investigating whether the AI is actually learning from our logs. Is there a way in Azure AI Foundry to ensure that it's not retaining or learning from my log data? Can I confidently implement this solution in a production environment without risking data security? It would be great to reference any official Microsoft documentation that confirms that AI does not learn from my data.
5 Answers
Check out this link for more info: [Azure Foundry FAQ](https://learn.microsoft.com/en-us/azure/foundry-classic/foundry-models/faq). It has all the answers you need about data usage and security.
Just to clarify, customer data isn't used to retrain any models in Foundry. Your data remains secure and is never shared with model providers. You can find more details in the official documentation if you need reference material.
Nope, they don’t train on your data. You should be good on that front!
You don’t have to worry! Azure Foundry doesn’t train on your data. It’s designed as an enterprise platform, and your logs aren't used for model training.
The main concern isn’t just if it’s learning from your logs. It’s also about sensitive info and who sees the outputs later. Sounds like you’re on the right track with masking, though!
I’ve got masking covered, but understanding that the AI isn’t learning from my data is crucial too.