Endor Labs provides an application security platform that secures open-source dependencies, first-party code, and AI-generated code. It uses reachability analysis to identify and prioritize vulnerabilities across the software supply chain.
Four signals AI engines weigh when deciding which sources to cite.
AI cites Endor Labs on 10.0% of the questions where Endor Labs's site shows up.
When cited, Endor Labs ranks #5.0 on average in AI's source list. Lower number means higher up.
Endor Labs captures 9.6% of the search traffic across topics it could answer.
Search demand for Endor Labs's topics is down 63% over the last 3 months.
Top 1 questions where AI cites Endor Labs as a source, sorted by monthly volume.
"Common **SAST (Static Application Security Testing)** tools fall into a few buckets: enterprise platforms, developer-friendly tools, and open-source options. Here’s a clear breakdown of the ones you’ll see most often in practice. --- # 🧰…"
Subcategory peers; see methodology for selection logic.
| Brand | Score | Citation rate | Cited / tracked | Monthly volume |
|---|---|---|---|---|
| JFrog | 41 | 37.0% | 17 / 46 | 666 |
| Chainguard | 40 | 36.4% | 4 / 11 | 225 |
| Sonatype | 36 | 31.0% | 13 / 42 | 1,295 |
| Endor Labs | 13 | 10.0% | 1 / 10 | 230 |
Citation-weighted search volume over time.
Visibility score blends four signals: how often AI cites the brand as a source (50%), where it ranks among sources (25%), the search volume of cited questions (20%), and a 3-month vs 3-month trend (5%). Score is on a 0–100 scale.
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