The most visible vulnerability scanners in Europe, October 2026

October 2026 · 105 questions asked from 7 countries · ChatGPT, Google AI Overviews, Gemini and Google AI Mode · 420 answers read

Leader

Snyk

39Heralded Score, range 37–43

Most cited source

owasp.org

228citations

From Google AI Mode, Google AI Overviews and ChatGPT

Where engines disagree most

Orca Security

1/4engines put it in their top three

Top three on Google AI Mode, not on Gemini, Google AI Overviews and ChatGPT

Brands

Search is not measured for this board yet, so it ranks on AI answers.

Rank Brand Rank change Heralded Score All AI Score trend Mentioned Recommended By engine Mentioned by Change
11 Tenable Web App Scanning US New entry 5 , range 4–8 5#11
5
  • : score 5 · #11
7% 0% None First reading
12 Acunetix MT New entry 4 , range 3–6 4#12
4
  • : score 4 · #12
5% 0% First reading
13 Aikido Security BE New entry 3 , range 2–5 3#13
3
  • : score 3 · #13
4% 0% First reading
14 Rapid7 InsightVM US New entry 3 , range 2–5 3#14
3
  • : score 3 · #14
3% 0% First reading
15 Aqua Security IL New entry 2 , range 2–4 2#15
2
  • : score 2 · #15
2% 0% First reading
16 Orca Security IL New entry 2 , range 2–4 2#16
2
  • : score 2 · #16
2% 0% First reading
17 Invicti GB New entry 2 , range 1–4 2#17
2
  • : score 2 · #17
2% 0% First reading
= 18 Clair US New entry 2 , range 1–3 2= #18
2
  • : score 2 · #18
1% 0% First reading
= 18 Nuclei US New entry 2 , range 1–3 2= #18
2
  • : score 2 · #18
1% 0% First reading
20 Rapid7 InsightAppSec US New entry 1 , range 1–3 1#20
1
  • : score 1 · #20
1% 0% First reading

“=” marks brands whose score ranges overlap, so the test cannot separate them. Every brand named in at least three answers is ranked. AI gives each brand’s score and rank from the engines’ answers; Search is not measured for this board yet. 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 owasp.org Community 21.0% 3 of 4 57 7
2 github.com Vendor site 14.3% 2 of 4 61 12
3 nist.gov Regulator 12.4% 3 of 4 25 1
4 owasp.github.io Community 10.7% 1 of 4 27 13
5 youtube.com Social 7.4% 2 of 4 37 Not read
6 cisa.gov Regulator 4.0% 1 of 4 8 Not read
7 reddit.com Community 6.7% 3 of 4 25 4
8 semgrep.dev Vendor site 6.4% 1 of 4 6 Not read
9 defectdojo.com Vendor site 1.7% 1 of 4 9 Not read
10 checkmarx.com Vendor site 4.3% 3 of 4 8 Not read

Questions asked

QuestionLanguageMost recommended
Quel scanner de vulnérabilités une équipe de sécurité devrait-elle utiliser pour détecter les failles logicielles ? French Greenbone OpenVAS
Quel outil peut analyser nos applications pour détecter les vulnérabilités ? French OWASP ZAP and Snyk, tied
Comment les petites équipes d’ingénierie peuvent-elles analyser leur code pour y détecter des vulnérabilités ? French OWASP ZAP
Qu’est-ce qui peut aider les développeurs à détecter les vulnérabilités avant la mise en production ? French No brand recommended
Comment détecter les vulnérabilités dans l’ensemble de nos applications ? French No brand recommended
Comment détecter les failles de sécurité dans le code avant le déploiement ? French No brand recommended
Comment mon équipe peut-elle détecter et prioriser les vulnérabilités logicielles ? French No brand recommended
Comment vérifier si notre logiciel présente des vulnérabilités connues ? French Nikto, OWASP ZAP and Trivy, tied
Faut-il analyser le code source ou les applications en cours d’exécution pour détecter les vulnérabilités ? French No brand recommended
Qu’est-ce qui fonctionne le mieux pour détecter les failles : les revues manuelles ou les analyses automatisées ? French No brand recommended

Each engine's top three

Method

Each leaderboard ranks brands on two sides. AI is how ChatGPT, Gemini, Google AI Overviews and Google AI Mode answer the board's buyer questions. Search is Google's top 10 results for the keywords behind those questions. All combines the two, where Search is measured.

For the AI side, 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