Introducing Embed
We’re thrilled to share a sneak preview of Embed Security and announce our $6M financing from Paladin Capital Group and leading angel investors. We’ve been building Embed in close collaboration with our customers and growing team. We founded the company with a clear mission: to cut through the noise of cyber alerts and help security teams focus on what’s real. This is an increasingly critical challenge in cybersecurity, and we’re humbled to take it on.
The seeds of Embed Security were planted a decade ago when we first met at FireEye/Mandiant. By then, Seth had already spent more than a decade in cybersecurity, building deep expertise at the NSA and during Mandiant’s early days. He led incident response teams, reverse engineered malware, and conducted advanced research that shaped new product capabilities. Jeff had just arrived from NSA Research, following his PhD work at UMass’s Autonomous Learning Lab, where he developed algorithms for reinforcement learning agents.
Our collaboration revealed the powerful potential at the intersection of artificial intelligence (AI) and cybersecurity. Together, we developed award winning machine learning (ML) models for malware detection, pioneered behavioral detection techniques, and created systems to derive meaning from complex threat intelligence data. These innovations were deployed in security products protecting millions of assets worldwide, enabling better threat prevention, detection, and prioritization. Along the way, we gained invaluable experience in maintaining AI models in real-world conditions.
