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Application security is not getting easier
Too Much Noise
Too Long To Fix
AI Everywhere
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.
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



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.