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Lately, I’ve been working with Data Management Landing Zones (DMLZ) and have compiled a set of practical insights and deployment tips for successful implementation. When implemented effectively, the DMLZ provides a governed, cost-transparent, and audit-ready foundation that enables data product teams to operate efficiently and securely.
https://vasenius.fi/getting-started-with-azure-data-management-landing-zone/
I wrote a brief Playbook, how to get started with securing the Azure AI Service's in your environment. Azure AI services provides multiple layers of security that you should consider when implementing a solution, which I present in this blog post:
https://vasenius.fi/example-playbook-to-secure-your-azure-ai-services/
Are you familiar with #MicrosoftPurview's DSPM for AI solution and what benefits it can bring to you and your organization? If not, feel free to check out the blog post I created about the solution and how it can be used to gather insights from AI usage across your environment.
https://vasenius.fi/overview-to-microsoft-purview-data-security-posture-management-dspm-for-ai/
