Microsoft Research Blog

BlueCodeAgent: A blue teaming agent enabled by automated red teaming for CodeGen AI 

November 11, 2025
BlueCodeAgent is an end-to-end blue-teaming framework built to boost code security using automated red-teaming processes, data, and safety rules to guide LLMsโ€™ defensive decisions. Dynamic testing reduces false positives in vulnerability detection.

Recent Posts

  1. Workflow icons showing tasks, thinking, and time, linked to a person symbol on a gradient background.

    Tell me when: Building agents that can wait, monitor, and act 

    October 21, 2025

    SentinelStep enables AI agents to handle monitoring tasks that run for hours or days, like watching for emails or tracking prices. It works by managing when agents should check and their context, avoiding wasted resources and missed updates.

  2. Three white icons on a gradient background transitioning from blue to green. From left to right: network node icon, lightbulb-shaped icon with a path tool icon in the center; a monitor icon showing a web browser icon

    RenderFormer: How neural networks are reshaping 3D rendering 

    September 10, 2025 | Yue Dong

    RenderFormer, from Microsoft Research, is the first model to show that a neural network can learn a complete graphics rendering pipeline. Itโ€™s designed to support full-featured 3D rendering using only machine learningโ€”no traditional graphics computation required.

  3. Three white icons on a gradient background transitioning from blue to green. From left to right: a network structure with connected circles, an upward-trending line graph with bars and an arrow, and a checklist with horizontal lines and checkmarks.

    Applicability vs. job displacement: further notes on our recent research on AI and occupations 

    August 21, 2025

    Recently, we released a paperย Working with AI: Measuring the Occupational Implications of Generative AIย that studied what occupations mightย findย AI chatbotsย useful, and to what degree.ย The paper sparked significant discussion,ย which is noย surpriseย sinceย people careย deeplyย aboutย the future of AI andย jobs--thatโ€™s part of why we thinkย itโ€™sย important to study theseย topics.

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