Episode
Secure-by-Design AI: Protecting MLOps in the Microsoft Cloud with Martin Dimovski [MVP-MCT]
- Published
- May 24, 2026
- Duration seconds
- 3324
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Summary
In this episode of the m365.fm podcast, Mirko Peters sits down with Microsoft MVP, MCT, cloud security expert, and community leader Martin Dimovski to explore one of the most important topics in modern enterprise IT: securing AI workloads and MLOps environments inside the Microsoft Cloud. Together, they dive deep into secure-by-design architecture, AI security risks, DevSecOps, Prompt Injection attacks, identity protection, Microsoft Defender, GitHub Advanced Security, and the future of AI-driven cyber threats. Martin shares his personal journey from IT support engineer into cloud security and AI security architecture, explaining how years of experience in infrastructure, Azure, DevOps, and Microsoft technologies ultimately pushed him toward cybersecurity and AI governance. The discussion highlights why AI security is no longer optional and why organizations that move too fast without proper security foundations could face major problems in the coming years. WHY AI SECURITY MATTERS NOW MORE THAN EVER One of the strongest themes throughout this episode is the speed at which organizations are deploying AI systems without fully understanding the security implications behind them. Martin explains that many companies are currently: Deploying AI solutions rapidly Experimenting with LLM integrations Building AI agents Creating cloud-native AI workloads Using open-source AI models Integrating APIs into production environments But at the same time, organizations often forget the security fundamentals that should protect these environments. The conversation explores how AI introduces completely new attack surfaces while simultaneously amplifying existing security problems. WHAT “SECURE-BY-DESIGN” REALLY MEANS A major focus of the episode is understanding the concept of secure-by…