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

bu.edu

5citations

From Gemini and Google AI Overviews

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% None 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% None 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% None First reading
10 Greenbone OpenVAS DE New entry 6 , range 4–9 6#10
6
  • : score 6 · #10
6% 2% 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. 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 bu.edu Reference 1.2% 2 of 4 1 2
2 refontelearning.com Reference 1.2% 1 of 4 1 2
3 sciencedirect.com Reference 0.5% 1 of 4 3 Not read
4 stephane-robert.info Reference 0.7% 2 of 4 2 6
5 arxiv.org Reference 0.5% 1 of 4 2 Not read
6 devopslaunchpad.com Reference 0.5% 2 of 4 1 Not read
7 studocu.com Reference 0.5% 1 of 4 2 Not read
8 tsg-training.co.uk Reference 0.5% 2 of 4 1 Not read
9 cyberdefenders.org Reference 0.2% 1 of 4 1 Not read
10 doi.org Reference 0.2% 1 of 4 1 Not read

Questions asked

QuestionLanguageMost 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
¿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

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