# Endor Labs: how AI models rank it, September 2026

IT AI Recommendation Index, September 2026 Edition. Named in 19 judge labels across 1 categories by 11 of 12 models. Page: https://it-ai-index.com/vendors/endor-labs/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Software composition analysis | 0% | 11 | 0% | 19 |

## What the models said for it

- "Endor Labs: Focuses on full-stack reachability and reduces noise by 95% using call graph analysis. Ideal for teams wanting deep, accurate dependency scanning." (Mistral Small, SCA)
- "Full-stack reachability analysis with 95% noise reduction via call graph analysis | Large enterprises prioritizing precision" (MiniMax M2.5, SCA)
- "Endor Labs – Full‑stack reachability, ~95% noise reduction (per their own testing)." (GLM 4.7 FlashX, SCA)
- "Prioritize tools with deep reachability analysis like Endor Labs or Semgrep" (Claude Haiku 4.5, SCA)

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, September 2026 Edition, it-ai-index.com.