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The most visible vulnerability scanners on ChatGPT, October 2026

October 2026 · 15 questions asked in English, worldwide · ChatGPT · 30 answers read

Leader

Snyk

30%of answers name it

Most cited source

owasp.org

61citations

From ChatGPT

Where engines disagree most

One engine

This page reads ChatGPT only. Set Engine to All to compare them.

Brands

Rank Brand Heralded Score Mentioned Recommended By engine Mentioned by Change
1 Snyk GB 40 , range 30–55 30% 20% None First reading
2 OWASP ZAP US 34 , range 13–48 20% 17% None First reading
3 Trivy IL 32 , range 8–45 20% 10% None First reading
4 Burp Suite GB 13 , range 3–38 13% 3% None First reading
5 Qualys US 8 , range 2–37 10% 3% None First reading
– Acunetix MT Too few answers 0% 0% None First reading
– Aikido Security BE Too few answers 0% 0% None First reading
– Aqua Security IL Too few answers 0% 0% None First reading
– AWS Inspector US Too few answers 0% 0% None First reading
– Clair US Too few answers 0% 0% None First reading

“=” marks brands whose score ranges overlap, so the test cannot separate them. Every brand named in at least three answers is ranked. By engine has one dot per engine (ChatGPT, Google AI Overviews, Gemini and Google AI Mode), darker the more often it names the brand.

Most cited sources

Rank Source Type Cited in Engines Pages cited Brands its pages mention
1 arxiv.org Reference 3.3% 1 of 4 1 0

The questions, and who wins each

QuestionLanguageWins it
how do application scans compare with dependency checks for finding vulnerabilities English No brand recommended
should developers or security teams own vulnerability scanning English No brand recommended
what can replace manual security checks before each software release English No brand recommended
how can we replace spreadsheets for tracking software vulnerabilities English No brand recommended
what can replace separate scanners for code and dependencies English Snyk

Each engine's top three

Method

Each month Heralded asks every engine the same buyer questions, twice each, and reads every answer. An answer counts 0 for a brand it leaves out, 50 for a brand it names and 100 for a brand it recommends, and the Heralded Score is built from those. A brand named in at least three answers gets a score and a place.

How the leaderboards are measured