I've been breaking down Microsoft's security stack since before Entra ID was even called Entra ID. No fluff, no paywalls — just technical depth on Entra, Sentinel, Defender, Purview, and Azure Security that the official docs rarely give you.
Discussion on technical topics and MVP path exploration. Pick the intensity that fits your timeline. Only for Individuals.
Part 2 of the Agent ID governance series: practical design patterns for combining Microsoft Entra Agent ID access packages with Privileged Identity Management (PIM) for privileged access.
How to assign access packages to Microsoft Entra Agent IDs, including agent self-request, sponsor on-behalf requests, direct admin assignments, and time-bound access lifecycle patterns.
Azure Files Entra-Only identities are now GA for SMB. This guide explains what changed, how Entra Kerberos works, and which identity types are involved in real-world access and authorization.
How to find, install, and connect the A365 Observability data connector in Microsoft Sentinel to get visibility into AI agent behavior across Agent 365, AI Foundry, and Copilot.
AI-300 study guide Part 5 covering optimization of generative AI systems — RAG chunking strategies, fine-tuning vs RAG, Azure OpenAI Batch API, semantic caching, model routing, streaming, and latency optimization.
AI-300 study guide Part 4 covering GenAI quality assurance — Azure AI Foundry evaluators, groundedness, relevance, safety metrics, custom evaluators, CI/CD evaluation gates, and OpenTelemetry distributed tracing.
Microsoft announced general availability for Entra-Only identities with Azure Files SMB, and this follow-up covers which identity types are involved in real-world access and authorization.
How to assign access packages to Microsoft Entra Agent IDs with approvals, expiry, and short-lived permission lifecycle controls.
How to track and analyze AI agent activity in Sentinel using the A365 Observability connector and signal-quality checks.
Complete study guide for the AI-300 exam covering MLOps on Azure, model deployment, monitoring, and responsible AI.
Full breakdown of AI-103 objectives: building AI-powered apps, integrating Azure AI services, and deploying intelligent agents.
Coverage of SC-500 domains with practical guidance on securing AI and cloud workloads using Microsoft Security controls.
