Endor Labs builds an application security platform designed for the realities of modern software development, where codebases increasingly blend first-party work, open-source dependencies, and AI-generated output. Its platform unifies static analysis, intelligent code reviews, and guided remediation into a single connected system. At its core is a code graph that maps relationships across all three code types, allowing the platform to surface only what genuinely matters - filtering out 92% of false positives that would otherwise consume engineering time.
The platform is built around AI automation: it conducts code reviews autonomously, provides guardrails for AI coding assistants to enforce secure defaults, and generates remediation workflows that let developers fix vulnerabilities six times faster than conventional approaches. The result is a system aimed at embedding security into the development process rather than appending it after the fact.
The team draws from engineering, research, and security disciplines; over a third hold PhDs. The company describes its culture as driven by curiosity and rigor, with a stated conviction that engineering and security are complementary rather than competing concerns. Its platform is relevant to AppSec teams, software engineering organisations relying on open-source packages, and any operation that has adopted AI coding assistants at scale.
