The most visible DLP tools in Europe, October 2026

October 2026 · 105 questions asked from 7 countries · ChatGPT, Google AI Overviews, Gemini and Google AI Mode · 420 answers read

Most cited source

aimultiple.com

4citations

From Gemini and Google AI Overviews

Where engines disagree most

They agree

Every engine names the same top three.

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 Microsoft Purview US New entry 47 , range 43–50 47#1
47
  • : score 47 · #1
49% 19% None First reading
2 Google Workspace Security US New entry 37 , range 34–40 37#2
37
  • : score 37 · #2
39% 4% None First reading
3 Google Workspace DLP US New entry 35 , range 32–38 35#3
35
  • : score 35 · #3
32% 5% None First reading
4 Forcepoint US New entry 26 , range 15–32 26#4
26
  • : score 26 · #4
19% 4% None First reading
5 Netskope US New entry 21 , range 10–31 21#5
21
  • : score 21 · #5
15% 6% None First reading
6 Microsoft Defender for Cloud Apps US New entry 10 , range 7–23 10#6
10
  • : score 10 · #6
12% 3% None First reading
7 Broadcom Symantec DLP US New entry 7 , range 5–10 7#7
7
  • : score 7 · #7
9% 1% None First reading
8 Proofpoint US New entry 7 , range 5–10 7#8
7
  • : score 7 · #8
7% 2% None First reading
9 Trellix DLP US New entry 4 , range 3–7 4#9
4
  • : score 4 · #9
5% 1% None First reading
10 Endpoint Protector RO New entry 4 , range 2–6 4#10
4
  • : score 4 · #10
4% 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
1 aimultiple.com Media 1.0% 2 of 4 4 Not read
2 cpomagazine.com Media 1.0% 1 of 4 2 Not read
3 supplychainbrain.com Media 0.7% 1 of 4 1 Not read
4 cnet.com Media 0.5% 1 of 4 1 Not read
5 csoonline.com Media 0.5% 1 of 4 1 Not read
6 digital4.biz Media 0.5% 2 of 4 2 Not read
7 dr-datenschutz.de Media 0.5% 2 of 4 2 Not read
8 m365.fm Media 0.5% 2 of 4 2 Not read
9 thehackernews.com Media 0.5% 1 of 4 1 Not read
10 zerounoweb.it Media 0.5% 2 of 4 2 Not read

Questions asked

QuestionLanguageMost recommended
¿Cómo podemos detectar archivos confidenciales que se suben a aplicaciones no autorizadas? Spanish Microsoft Purview
¿Cómo evitan las empresas que los empleados copien datos confidenciales en memorias USB? Spanish No brand recommended
¿Cómo puedo saber dónde se están compartiendo los datos confidenciales de la empresa? Spanish No brand recommended
¿Deberíamos proteger los datos confidenciales en los dispositivos de los empleados o en las aplicaciones en la nube? Spanish No brand recommended
¿Es mejor bloquear las transferencias de datos o avisar a los equipos de seguridad? Spanish No brand recommended
how do companies prevent data leaks across email, browsers, and file storage English Microsoft Purview
can one policy protect sensitive data on laptops and in cloud services English No brand recommended
what can replace manual checks for employees sharing confidential files English No brand recommended
how can we replace separate rules for email and endpoint data leaks English Microsoft Purview
what can replace blocking every file upload to prevent data leaks English Microsoft Defender for Cloud Apps and Microsoft Purview, 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