Comment “SQL” to get the YouTube link to tutorial!
People are tricking AI agents into leaking data they don’t have access to.
It’s called prompt injection.
People skillfully hide prompts into ordinary-looking things like form fields or applications and AI systems read the prompt as a command instead of as a data point.
This is part one of Your Data strategy is Your AI strategy, and today we’re talking about governance and security.
If you are building with AI, these are 4 things you need to think about when it comes to securing and governing your data:
↳ Data oversharing & leaks
Classify and mask sensitive data so AI agents and humans can’t see information they don’t have permission to access.
↳ Shadow AI & prompt injection
Monitor every request between AI and your data in real time, and block anything suspicious before it ever reaches your data.
↳ Agent sprawl & resource access
As more AI agents get access to your systems, tight permissions and access controls matter more than ever.
↳ Regulatory compliance
Keep an immutable record of what AI actually did so it can’t be edited or deleted
If you want to learn more about built-in data governance and security, you have to check out @microsoft ’s SQL Foundations series in partnership w/ AMD in Azure SQL Database Hyperscale.
When it comes to building with AI, you can’t just think about storing your data. You have to also think about protecting it and securing it at every layer from both humans and AI agents.
In the upcoming parts of the series we’re also going to talk about AI capabilities in SQL and scalability to support AI workloads, so follow along for parts 2 and 3!
#MicrosoftPartner
Comment “SQL” to get the YouTube link to tutorial!
People are tricking AI agents into leaking data they don’t have access to.
It’s called prompt injection.
People skillfully hide prompts into ordinary-looking things like form fields or applications and AI systems read the prompt as a command instead of as a data point.
This is part one of Your Data strategy is Your AI strategy, and today we’re talking about governance and security.
If you are building with AI, these are 4 things you need to think about when it comes to securing and governing your data:
↳ Data oversharing & leaks
Classify and mask sensitive data so AI agents and humans can’t see information they don’t have permission to access.
↳ Shadow AI & prompt injection
Monitor every request between AI and your data in real time, and block anything suspicious before it ever reaches your data.
↳ Agent sprawl & resource access
As more AI agents get access to your systems, tight permissions and access controls matter more than ever.
↳ Regulatory compliance
Keep an immutable record of what AI actually did so it can’t be edited or deleted
If you want to learn more about built-in data governance and security, you have to check out @microsoft ’s SQL Foundations series in partnership w/ AMD in Azure SQL Database Hyperscale.
When it comes to building with AI, you can’t just think about storing your data. You have to also think about protecting it and securing it at every layer from both humans and AI agents.
In the upcoming parts of the series we’re also going to talk about AI capabilities in SQL and scalability to support AI workloads, so follow along for parts 2 and 3!
#MicrosoftPartner
