As an AI developer working with Microsoft Foundry, and custom chatbot deployments, I needed a way to systematically test AI applications for security vulnerabilities. Manual testing wasn't scalable, ...

Turning a real world decision problem into a solver ready optimization model can take days—sometimes weeks—even for experienced teams. The hardest part is often not solving the problem; it’s translat...

Microsoft Foundry will now integrate Hugging Face’s gated models, giving enterprises secure steps access to advanced open-source AI models directly within their Azure environment. Gated models are AI...

Enterprise developers know the grind: wrestling with legacy code, navigating complex dependency challenges, and waiting on security reviews that stall releases. OpenAI’s GPT‑5.2‑Codex flips that equa...

The shift from proof-of-concept AI agents to production-ready systems isn't just about better models—it's about building robust infrastructure that can develop, deploy, and maintain intelligent agent...

In this article, we’ll explore how to design, configure, and operationalize model evaluation using Microsoft Foundry’s built-in capabilities and best practices. Why Continuous Evaluation Matter...

Dragon HD Omni is Microsoft Azure Speech’s newest text‑to‑speech generation, delivering over 700 high‑quality voices with enhanced expressiveness, multi‑lingual fluency, and multi‑style control — all...

In our previous blog post, we explored why evaluating AI agents is more complex than evaluating a single Large Language Model (LLM), and we introduced the diverse set of evaluators needed to gain a h...

In today’s fast‑moving AI engineering landscape, developers need voice models that don’t just perform well—they need models that are fast, predictable, production‑ready, and easy to integrate into re...