In this episode, we explore the security challenges of the AI-driven software era and how Endor Labs is reshaping application security for the modern development landscape. With $93 million raised in an oversubscribed Series B round and 30x ARR growth in just 18 months, Endor Labs is rapidly emerging as a market leader in securing AI-generated and open-source code.
We dive into the platform’s unique approach—combining SCA, SAST, Secrets Detection, CI/CD, and Container Scanning with reachability analysis and AI-powered code review. These capabilities allow Endor Labs to cut through the noise of false positives and zero in on real, architectural risks—like unauthenticated admin endpoints introduced by AI-generated code.
You’ll also hear how Endor Labs enables developer-friendly workflows and integrates security into the development lifecycle—turning AppSec from a bottleneck into a catalyst. We discuss their evaluation framework for open-source dependencies, the growing risks of transitive vulnerabilities, and how AI Code Governance is essential for ensuring code reliability, quality, and security at scale.
Whether you’re a CISO, a DevSecOps leader, or a developer navigating the AI coding wave, this episode unpacks why the future of secure software starts with smarter tools, deeper insights, and platforms purpose-built for this new era.
