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

github.com

142citations

From 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
1 Snyk GB New entry 39 , range 37–43 39#1
39
  • : score 39 · #1
39% 11% First reading
2 OWASP ZAP US New entry 37 , range 34–41 37#2
37
  • : score 37 · #2
33% 11% First reading
3 Trivy IL New entry 32 , range 30–35 32#3
32
  • : score 32 · #3
26% 5% First reading
4 Burp Suite GB New entry 22 , range 12–31 22#4
22
  • : score 22 · #4
18% 3% First reading
5 Tenable Nessus US New entry 10 , range 7–22 10#5
10
  • : score 10 · #5
12% 4% First reading
6 Tenable Vulnerability Management US New entry 9 , range 7–20 9#6
9
  • : score 9 · #6
11% 4% None First reading
7 Qualys US New entry 8 , range 6–14 8#7
8
  • : score 8 · #7
10% 2% First reading
8 Tenable One US New entry 6 , range 4–9 6#8
6
  • : score 6 · #8
8% 1% None First reading
9 Veracode US New entry 6 , range 4–9 6#9
6
  • : score 6 · #9
7% 1% First reading
10 Greenbone OpenVAS DE New entry 6 , range 4–9 6#10
6
  • : score 6 · #10
6% 2% 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 github.com Vendor site 14.3% 2 of 4 61 12
2 semgrep.dev Vendor site 6.4% 1 of 4 6 Not read
3 defectdojo.com Vendor site 1.7% 1 of 4 9 Not read
4 checkmarx.com Vendor site 4.3% 3 of 4 8 Not read
5 wiz.io Vendor site 4.0% 3 of 4 14 4
6 gitlab.com Vendor site 1.9% 4 of 4 11 Not read
7 sonarsource.com Vendor site 2.9% 3 of 4 6 1
8 fortinet.com Vendor site 2.9% 3 of 4 9 1
9 tuxcare.com Vendor site 2.4% 3 of 4 5 8
10 cycode.com Vendor site 2.1% 3 of 4 6 8

Questions asked

QuestionLanguageMost recommended
¿Cómo podemos detectar fallos de seguridad en el código antes de desplegarlo? Spanish No brand recommended
¿Cómo puede mi equipo encontrar y priorizar vulnerabilidades de software? Spanish OWASP ZAP and Trivy, tied
¿Cómo puedo comprobar si nuestro software tiene vulnerabilidades conocidas? Spanish Greenbone OpenVAS
¿Deberíamos analizar el código fuente o las aplicaciones en ejecución para encontrar vulnerabilidades? Spanish No brand recommended
¿Qué funciona mejor para detectar fallos: las revisiones manuales o los análisis automatizados? Spanish No brand recommended
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 Tenable Vulnerability Management
what can replace separate scanners for code and dependencies English Snyk

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