Leader
43Heralded Score, range 35–54
The most visible vulnerability scanners in United Kingdom, October 2026
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 | | New entry | 43 , range 35–54 | 43#1 | 43
| 44% | 14% | None | First reading | |
| 2 | | New entry | 36 , range 29–46 | 36#2 | 36
| 30% | 12% | None | First reading | |
| 3 | | New entry | 35 , range 26–44 | 35#3 | 35
| 31% | 7% | None | First reading | |
| 4 | | New entry | 32 , range 14–41 | 32#4 | 32
| 26% | 5% | None | First reading | |
| 5 | | New entry | 16 , range 6–35 | 16#5 | 16
| 15% | 4% | None | First reading | |
| 6 | | New entry | 10 , range 4–34 | 10#6 | 10
| 13% | 2% | None | First reading | |
| 7 | | New entry | 9 , range 4–33 | 9#7 | 9
| 11% | 2% | None | First reading | |
| 8 | | New entry | 8 , range 3–33 | 8#8 | 8
| 8% | 5% | None | First reading | |
| 9 | | New entry | 7 , range 3–32 | 7#9 | 7
| 10% | 1% | None | First reading | |
| = 10 | | New entry | 7 , range 2–32 | 7= #10 | 7
| 8% | 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 | | Review site | 1.7% | 1 of 4 | 2 | Not read |
| 2 | | Review site | 1.7% | 1 of 4 | 1 | Not read |
| 3 | | Review site | 1.7% | 1 of 4 | 1 | Not read |
| 4 | | Review site | 1.7% | 1 of 4 | 1 | Not read |
| 5 | | Review site | 1.7% | 1 of 4 | 1 | Not read |
Questions asked
| Question | Language | Most recommended |
|---|---|---|
| what vulnerability scanner should a security team use to find software flaws | English | |
| which tool can scan our applications for security vulnerabilities | English | |
| how do small engineering teams scan code for vulnerabilities | English | |
| what can help developers find vulnerabilities before release | English | |
| how can i find vulnerabilities across our applications | English | No brand recommended |
| how do we catch security flaws in code before deployment | English | |
| how can my team find and prioritize software vulnerabilities | English |  AWS Inspector |
| how do i check whether our software has known vulnerabilities | English | |
| should we scan source code or running applications for vulnerabilities | English | No brand recommended |
| what works better for finding flaws, manual reviews or automated scans | English | No brand recommended |
Each engine's top three
Related leaderboards
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.