The most visible vulnerability scanners in Germany, October 2026

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

Leader

Snyk

40Heralded Score, range 33–50

Most cited source

github.com

23citations

From Google AI Overviews 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

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 40 , range 33–50 40#1
40
  • : score 40 · #1
36% 15% First reading
2 OWASP ZAP US New entry 39 , range 32–48 39#2
39
  • : score 39 · #2
35% 13% None First reading
3 Trivy IL New entry 36 , range 30–46 36#3
36
  • : score 36 · #3
34% 8% None First reading
4 Burp Suite GB New entry 32 , range 11–40 32#4
32
  • : score 32 · #4
23% 6% None First reading
5 Tenable Vulnerability Management US New entry 10 , range 4–34 10#5
10
  • : score 10 · #5
9% 6% None First reading
6 Greenbone OpenVAS DE New entry 9 , range 4–33 9#6
9
  • : score 9 · #6
10% 3% None First reading
7 Tenable Nessus US New entry 8 , range 3–33 8#7
8
  • : score 8 · #7
9% 3% None First reading
8 Aqua Security IL New entry 5 , range 1–30 5#8
5
  • : score 5 · #8
6% 2% First reading
9 Veracode US New entry 5 , range 1–29 5#9
5
  • : score 5 · #9
5% 2% None First reading
10 Tenable Web App Scanning US New entry 4 , range 1–24 4#10
4
  • : score 4 · #10
6% 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. 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
11 computerweekly.com Media 5.0% 2 of 4 2 2
12 first.org Community 1.7% 1 of 4 3 Not read
13 checkmarx.com Vendor site 1.7% 1 of 4 2 Not read
14 dev.to Community 3.3% 1 of 4 2 Not read
15 devops.com Media 1.7% 1 of 4 2 Not read
16 digitalsamba.com Vendor site 3.3% 2 of 4 1 Not read
17 ibm.com Vendor site 3.3% 1 of 4 2 Not read
18 nevercodealone.de Consultancy 1.7% 1 of 4 2 Not read
19 safeguard.sh Vendor site 3.3% 2 of 4 2 Not read
20 wiz.io Vendor site 3.3% 2 of 4 1 3

Questions asked

QuestionLanguageMost recommended
Welchen Schwachstellenscanner sollte ein Sicherheitsteam nutzen, um Sicherheitslücken in Software zu finden? German Snyk and Trivy, tied
Welches Tool kann unsere Anwendungen auf Sicherheitslücken prüfen? German Burp Suite, OWASP ZAP and Snyk, tied
Wie können kleine Engineering-Teams ihren Code auf Sicherheitslücken prüfen? German OWASP ZAP
Was hilft Entwicklern, Sicherheitslücken vor dem Release zu finden? German No brand recommended
Wie kann ich Sicherheitslücken in unseren Anwendungen finden? German OWASP ZAP, Snyk and Trivy, tied
Wie erkennen wir Sicherheitslücken im Code vor dem Deployment? German No brand recommended
Wie kann mein Team Softwareschwachstellen finden und priorisieren? German Greenbone OpenVAS
Wie kann ich prüfen, ob unsere Software bekannte Sicherheitslücken enthält? German No brand recommended
Sollten wir den Quellcode oder laufende Anwendungen auf Sicherheitslücken scannen? German No brand recommended
Was eignet sich besser, um Sicherheitslücken zu finden: manuelle Reviews oder automatisierte Scans? German 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