Microsoft AI

Introducing MAI-Cyber-1-Flash, our new in-house cybersecurity model running inside of MDASH, our multi-agent harness that detects and remediates vulnerabilities across large-scale code bases. MDASH: MAI-Cyber-1-Flash+GPT-5.4 model combination out-performs Mythos by 12 points on the CyberGym benchmark. We are offering this same model configuration in MDASH for 50% cheaper than our previous best offering (GPT-5.4 + 5.4 mini + 5.3 codex). This is just the beginning. Read our blog to learn more: https://msft.it/6046vCSok

Today, we are announcing a series of updates that give customers frontier-grade security at half the cost. MAI-Cyber-1-Flash is our first cybersecurity model, built ground up to find the most challenging vulnerabilities in complex code bases. When combined with MDASH, it delivers world-class performance at 50 percent of the cost of leading models. We are bringing this capability to market through Project Perception, a complete agentic security offering grounded in real-world signals and security workflows. Teams of specialized agents work together to simulate attacks, detect and triage/investigate, and fix and remediate. This is the benefit of building the harness, context/signals, and action space separate from one model family. By combining specialized models and data with the right agents, tools, security context, and harness, we can advance the frontier of cost to outcome. Learn more: https://lnkd.in/gZHUCuQp

The conversation around AI is one of the most important of our time. Yet too many ideas are explored in silos: builders talk to builders, academics to academics, and many people feel left out of the conversation. At Microsoft AI, we believe that this moment is too significant to be left to technologists alone. This is why we commissioned a new journal of ideas, The Humanist Review of AI. Launching today in print and digital, The Humanist Review of AI’s first issue brings together 17 contributors: philosophers, investors, writers, artists, technologists, exploring the theme of People and Technology with original essays. Read it online, and join the conversation: https://msft.it/6040vFt80

For years, William Sieghart has been prescribing poems to people, listening closely and finding the words that meet the moment. Ode brings that experience to anyone, anywhere through a short voice conversation powered by Microsoft AI models. You speak in your own words. It listens. A poem finds you. This is AI enhancing our humanity, making moments of reflection more accessible in everyday life. Try it free in your browser: https://msft.it/6042vIDFs

AI is ultimately about people. Understanding every voice, building with empathy, and taking a responsible approach aren't side goals. They're part of the work itself. Meet some of the people behind MAI. Watch the full video here: https://msft.it/6044vUaoE

We shipped a new coding model built for your everyday dev work. MAI-Code-1-Flash is fast, token-efficient, and trained inside real GitHub Copilot environments. It plans, builds, runs, and tests. All from Copilot Chat in VS Code. Watch it go from a single frost banner to a full seasonal snapshot with passing tests. In minutes. For cents. ▶️ https://msft.it/6045vqZs5

Microsoft's MAI-Image-2.5 ranks #2 in Text to Image and #3 in Image Editing in the Artificial Analysis Image Arena, behind only OpenAI's image models. The latest addition to the MAI Image family is capable of handling both text to image generation and image editing, up to a maximum output resolution of roughly 1MP at flexible aspect ratios with a 32K token context. MAI-Image-2.5 is one of the strongest image models we have tested, ranking #2 in Text to Image behind only OpenAI's GPT Image 2. Its Image Editing capabilities rank at #3 on our leaderboard, ranking just behind OpenAI’s image models, with performance comparable to Google’s Nano Banana 2. MAI-Image-2.5-Flash, the faster, lower-cost variant, lands at #8 in Text to Image and #6 in Image Editing. MAI-Image-2.5 is priced at $48 per 1k images and MAI-Image-2.5-Flash at $20 per 1k images on the Foundry API. Both are also available in the MAI Playground, and MAI-Image-2.5 is available to users in PowerPoint and OneDrive.

MAI-Image-2.5 ranked #2 for text-to-image and #3 for image editing on Artificial Analysis - showing strong performance across both generation and precise image edits. From rainy-window blur to a clear, usable street scene, while preserving object consistency, lighting, reflections, and scene geometry. Available now in Foundry API (https://msft.it/6040vUag4), MAI Playground (https://msft.it/6041vUagf) and OpenRouter.

What happens when speech, transcription, and coding models work together? This prototype demo, built using a VS Code fork, showcases how MAI-Transcribe, MAI-Voice, and MAI-Code-1-Flash can work together in a unified workflow to transform spoken instructions into working code.