cyber background

Project Ire

Autonomous malware classification

Tools

GraphRAG 

The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs. To learn more about GraphRAG and how it can be used to enhance your…

Github for GraphRAG

People

Portrait of Brian Caswell

Brian Caswell

Principal Security Engineer

Portrait of Dustin Fraze

Dustin Fraze

Principal Research Scientist

Portrait of Sarah Smith

Sarah Smith

Senior Program Manager

Portrait of Rodrigo Racanicci

Rodrigo Racanicci

Principal Software Engineer

Portrait of Shelby Hayes

Shelby Hayes

Senior Technical Program Manager

Portrait of Stanley He

Stanley He

Senior Security Researcher

Portrait of Katy Smith

Katy Smith

Data Scientist II

Portrait of Bhakta Pradhan

Bhakta Pradhan

Senior Security Researcher

Portrait of Mike Walker

Mike Walker

Research Manager

Portrait of Cory Duplantis

Cory Duplantis

Portrait of Bob Fleck

Bob Fleck

Senior Security Engineer

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. Blog Project Ire autonomously identifies malware at scale 

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.