The most visible vulnerability scanners in Spain, October 2026

October 2026 · 15 questions asked from Spain in Spanish and English · ChatGPT, Google AI Overviews, Gemini and Google AI Mode · 60 answers read

Leader

Snyk

29Heralded Score, range 22–49

Most cited source

owasp.org

26citations

From Google AI Mode and ChatGPT

Where engines disagree most

Burp Suite

1/4engines put it in their top three

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

Brands

Rank Brand Rank change Heralded Score All AI Search Score trend Mentioned Recommended By engine Mentioned by Change
1 Snyk GB New entry 29 , range 22–49 43#1 5#14
29
  • : score 29 · #1
29% 8% First reading
2 OWASP ZAP US New entry 27 , range 21–46 41#2 3#16
27
  • : score 27 · #2
25% 10% None First reading
3 Tenable Nessus US New entry 22 , range 3–49 14#7 35#1
22
  • : score 22 · #3
12% 3% First reading
4 Burp Suite GB New entry 22 , range 6–41 30#3 7#10
22
  • : score 22 · #4
15% 2% First reading
5 Qualys US New entry 19 , range 4–49 18= #5 21#2
19
  • : score 19 · #5
10% 5% First reading
6 Trivy IL New entry 19 , range 6–33 30#4 0= #21
19
  • : score 19 · #6
13% 3% First reading
7 Tenable Vulnerability Management US New entry 15 , range 4–43 18= #5 9#7
15
  • : score 15 · #7
9% 4% None First reading
8 Greenbone OpenVAS DE New entry 10 , range 1–45 5#11 18#3
10
  • : score 10 · #8
5% 1% First reading
9 Veracode US New entry 7 , range 1–38 5#9 10#5
7
  • : score 7 · #9
6% 0% None First reading
10 Acunetix MT New entry 6 , range 2–35 6#8 7#11
6
  • : score 6 · #10
6% 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 and Search give each brand’s score and rank on that side alone. 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 18.3% 2 of 4 18 3
2 github.com Vendor site 11.7% 1 of 4 18 5
3 nist.gov Regulator 11.7% 1 of 4 9 1
4 campusciberseguridad.com Consultancy 15.0% 3 of 4 2 6
5 owasp.github.io Community 8.3% 1 of 4 8 1
6 youtube.com Social 10.0% 1 of 4 7 Not read
7 defectdojo.com Vendor site 1.7% 1 of 4 5 Not read
8 tuxcare.com Vendor site 8.3% 3 of 4 2 4
9 linkedin.com Social 5.0% 1 of 4 4 Not read
10 nhimg.org Industry authority 5.0% 2 of 4 3 Not read

Questions asked

QuestionLanguageMost recommended
¿Qué escáner de vulnerabilidades debería usar un equipo de seguridad para detectar fallos de software? Spanish OWASP ZAP, Qualys, Snyk and Tenable Nessus, tied
¿Qué herramienta puede analizar nuestras aplicaciones en busca de vulnerabilidades de seguridad? Spanish OWASP ZAP and Snyk, tied
¿Cómo pueden los equipos de ingeniería pequeños analizar el código en busca de vulnerabilidades? Spanish OWASP ZAP and Snyk, tied
¿Qué puede ayudar a los desarrolladores a detectar vulnerabilidades antes del lanzamiento? Spanish No brand recommended
¿Cómo puedo encontrar vulnerabilidades en todas nuestras aplicaciones? Spanish Burp Suite and OWASP ZAP, tied
¿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 and SecuScanner, tied
¿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

Each engine's top three

Google AI Mode

No brand named in at least three answers.

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