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Endor Labs Raises $93M to Cut AppSec Noise and Secure the Software Supply Chain

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Manage episode 480747034 series 3645080
Content provided by Daily Security Review. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daily Security Review or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

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.

  continue reading

60 episodes

Artwork
iconShare
 
Manage episode 480747034 series 3645080
Content provided by Daily Security Review. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daily Security Review or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

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.

  continue reading

60 episodes

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