Microsoft Research Blog

RedCodeAgent: Automatic red-teaming agent against diverse code agents 

November 4, 2025
Code agents help streamline software development workflows, but may also introduce critical security risks. Learn how RedCodeAgent automates and improves “red-teaming” attack simulations to help uncover real-world threats that other methods overlook.

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. It’s designed to support full-featured 3D rendering using only machine learning—no traditional graphics computation required.

  3. Two white line icons on a gradient background transitioning from blue to pink. From left to right: icon representing a set of gears; an icon representing three connected nodes each containing a user icon

    Breaking the networking wall in AI infrastructure  

    September 9, 2025 | Paolo Costa

    Datacenter memory and network limits are restraining AI system performance. MOSAIC uses microLEDs and a wide-and-slow optical architecture to deliver faster, longer, more reliable, and energy efficient connections that could transform AI cluster designs.

  4. 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 paper Working with AI: Measuring the Occupational Implications of Generative AI that studied what occupations might find AI chatbots useful, and to what degree. The paper sparked significant discussion, which is no surprise since people care deeply about the future of AI and jobs--that’s part of why we think it’s important to study these topics.

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