The Hidden AI Engine Inside .NET 10: WebAuthn, Passkeys, Diagnostics & How AI Really Fits Into ASP.NET Core

Most people still think of ASP.NET Core as “just” a web framework, but .NET 10 quietly ships with an AI‑ready engine that shapes how your apps think, react and secure themselves. In this episode, I unpack what that actually means: how AI hooks integrate with the runtime, how WebAuthn passkeys and modern security signals feed into your telemetry, and how improved diagnostics can surface problems earlier instead of burying you in logs. You’ll hear where intelligence is truly baked into the platform, which capabilities are opt‑in, and how to decide what’s safe to adopt now for real projects—not just demos.THE AI ENGINE HIDING IN PLAIN SIGHTWhat stands out in .NET 10 isn’t one flashy “AI feature,” but how the platform makes it easier to plug intelligence into the apps you already build. Instead of wiring ML.NET or external services by hand, you can use familiar patterns—dependency injection, middleware, pipelines—to connect models and AI services directly into your request flow. We walk through how this reduces the scaffolding code and mental overhead that used to make AI feel exotic, and how those hooks turn intelligence into a quiet, supporting layer rather than a separate science project bolted on top.SECURITY THAT TALKS TO YOUR AI.NET 10 doesn’t just add AI‑friendly plumbing; it also strengthens the signals your app can base decisions on. With better support for WebAuthn and passkeys, authentication moves beyond passwords, and the resulting events can be routed into your telemetry and analytics. We explore how sign‑in patterns, device context and timing become inputs for anomaly detection and AI‑driven evaluation—not to replace human judgment, but to surface suspicious combinations earlier. The result is a security layer that does more than lock doors: it tells your monitoring and AI where trust might be shifting in real time.DIAGNOSTICS THAT PREDICT BREAKDOWNS, NOT JUST AUTOPSIESTraditional diagnostics in .NET were reactive: you dug through logs after a crash and hoped the right message existed. In the .NET 10 era, diagnostics aim earlier in the cycle, connecting telemetry, traces and AI‑assisted analysis so issues can be highlighted while systems still appear “healthy” on the surface. We talk about how structured signals from runtime behavior, auth flows and performance counters can be fed into smarter tooling that points you at likely root causes instead of leaving you with thousand‑line log files. This doesn’t make debugging magical—but it does tilt the odds toward discovering problems before users feel them.WHAT YOU’LL LEARNHow .NET 10 weaves AI integration into familiar patterns like DI, middleware and pipelines.How WebAuthn, passkeys and modern auth events can act as signals for analytics and AI‑driven monitoring.How improved diagnostics and telemetry in .NET 10 aim to surface issues earlier, not just record failures.Which AI‑related capabilities are safe, opt‑in building blocks vs features that require careful planning and governance.THE CORE INSIGHTThe core insight of this episode is that .NET 10 treats intelligence as part of the foundation, not an afterthought. When AI hooks, security signals and diagnostics all share the same runtime and telemetry, you get a platform where apps can see more, react earlier and stay safer—provided you deliberately choose which pieces to turn on and how to govern them.WHO THIS EPISODE IS FOR.NET and ASP.NET Core developers curious how AI actually fits into .NET 10.Architects and tech leads evaluating whether .NET 10’s AI and diagnostics are ready for production use.Security and platform teams interested in how WebAuthn, passkeys and telemetry can feed smarter monitoring.ABOUT THE AUTHOR / HOSTMirko Peters is a Microsoft 365 and backend architecture consultant and host of the M365.FM podcast, helping organizations treat .NET, security, AI and diagnostics as one integrated operating system instead of disconnected stacks. He works with teams running on Microsoft 365, Azure and modern .NET to design architectures where AI, identity and observability reinforce each other—so apps stay fast, secure and explainable under real‑world pressure.Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-fm-modern-work-security-and-productivity-with-microsoft-365--6704921/support.