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Project Ire

Autonomous malware classification

新闻与深度文章

Project Ire | | three white line icons on an abstract purple background | greater than / less than icon, search icon, shield icon
微软研究院博客

| Brian Caswell, Bob Fleck, Mike Walker, 和 Sarah Smith

Project Ire examined a timely malware sample and determined its intent through reverse engineering—identifying LOTUSLITE characteristics even as most major EDR tools did not detect it.

新闻报道 | Infosecurity Magazine

Microsoft Debuts AI Agent Able to Reverse Engineer Malware 

Stylized digital illustration of a multi-layered circuit board. A glowing blue microchip sits at the top center, with intricate circuitry radiating outward. Beneath it, four stacked layers transition in color from blue to orange, each featuring circuit-like patterns. Smaller rectangular and circular components are connected around the layers, all set against a dark background with scattered geometric shapes.
微软研究院博客

| Brian Caswell, Dustin Fraze, Sarah Smith, Rodrigo Racanicci, Tim Middleton-Sally, Shelby Hayes, Stanley He, Katy Smith, Bhakta Pradhan, 和 Mike Walker

Designed to classify software without context, Project Ire replicates the gold standard in malware analysis through reverse engineering. It streamlines a complex, expert-driven process, making large-scale malware detection faster & more consistent.