AI + Security · Case study
Turning security findings into work AI agents can act on
A multi-tenant security platform that brings recommendations from multiple healthcare customers into one place while keeping every tenant’s data isolated. Microsoft Foundry agents help identify risks and support remediation without crossing customer boundaries.
The problem
Security recommendations were spread across different customer environments. Looking at them one by one made it harder to see recurring risks, prioritize the work and automate parts of the remediation. But bringing that information together creates another problem: healthcare customers have strict data boundaries, so one tenant must never gain access to another tenant’s information.
The architecture
What I built
I architected a multi-tenant security management platform that consolidates security recommendations across customer environments while keeping each tenant isolated.
On top of that foundation, Microsoft Foundry AI agents work with the security findings to help identify risks and support remediation.
What makes it interesting
The interesting part is not simply using an AI agent.
It is making an agent useful inside a system where identity, authorization, customer boundaries and security controls matter.
The result
One place to see and act on security risks across healthcare customers, with every tenant’s data kept apart.