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AppSec that understands your code & everything it depends on

Modern software is complex and dependency-rich, making it increasingly difficult to pinpoint the risks that truly matter. The Endor Labs AppSec Platform solves this challenge by building a call graph of your entire software estate—enabling teams to clearly identify, prioritize, and fix critical risks faster.

Trusted by leading teams

Application security is not getting easier

Too Much Noise

Noisy security scanners put developers and engineers at odds

Too Long To Fix

Remediation advice is often useless or causes more harm than good

AI Everywhere

Copilots, LLMs, and vibe coding mean more code to secure without more resources

In just the first week we saw an 80% reduction in risks we had to remediate, all due to reachability analysis — and we continue to see that number climb.

Raphael Theberge

Head of Security Enablement at Relativity

Analyze every line of code, every dependency, on every layer.

Be ready for the AI Revolution

AI is trained on Open Source…

AI-generated code isn't created from scratch—it's directly based on existing open-source software. Today's foundational AI models powering coding assistants are primarily trained on open-source libraries, producing derivatives based on established code patterns.

…and takes the good with the bad

While developer productivity skyrockets and more code is produced, AppSec needs to scale to match. New dependencies like AI models, and a large volume of code with unknown provenance or inherited vulnerabilities create an environment existing AppSec tools were not built for.

Endor Labs understands Open Source better than anyone else

We built an unparalleled knowledge base of open source libraries, vulnerabilities, and code relationships—everything that AI is trained on. As a result, we have data and insights that are completely unique in the market:

1B Risk Factors

Proprietary vulnerability database: Detailed annotations of lines of code with vulnerabilities across open source libraries dating back a decade, and 150+ health and security checks on every open source library and AI model.

4.5M Projects

Comprehensive call graphs: We’ve Indexed billions of functions across 4.5 million open source projects and libraries in all major programming languages to understand exactly how each function works.

500M Embeddings

Vector embeddings for accurate detection: Created over half a billion embeddings and growing to identify the provenance of copied code and detect legal and security risks, even when function names or structures are changed by LLMs or developers.

The Endor Labs AppSec Platform

Reduce noise

Endor Labs brings together Reachability-Based SCA, SAST, Secrets, CI/CD, and Container Scanning in a single, remediation-focused platform. Go beyond detection—correlating findings across scanners and cutting through the noise with reachability and deep program analysis.

Fix faster

Endor Labs uses program analysis to identify which vulnerabilities actually pose risk to your application, then offers multiple paths to fix them: see exactly what would break in an upgrade with Upgrade Impact Analysis, or apply just the security fix without upgrading using Endor Patches.

AI security

Endor Labs identifies risks in AI models and AI-generated code, tracks AI model provenance, and enforces proper governance. At the same time, it applies AI to dramatically improve security team productivity - automatically analyzing thousands of pull requests to identify the handful with significant security implications, summarizing complex code changes in plain language, and providing contextual insights about vulnerabilities.

Robust Policy Engine and API

Endor Labs' API-first policy engine replaces noisy, generic security rules with precise policies tailored to your risks and workflows. By surfacing only meaningful, reachable issues and automating targeted actions, it drastically cuts unnecessary build breaks and security tickets—letting developers focus on building, not fixing.