The most visible DLP tools 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

Most cited source

reddit.com

3citations

From Google AI Mode and Google AI Overviews

Where engines disagree most

Forcepoint

1/4engines put it in their top three

Top three on Google AI Overviews, not on Google AI Mode, Gemini 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 Microsoft Purview US New entry 46 , range 38–58 46#1
46
  • : score 46 · #1
49% 17% None First reading
2 Google Workspace Security US New entry 36 , range 30–44 36#2
36
  • : score 36 · #2
38% 2% None First reading
3 Google Workspace DLP US New entry 33 , range 22–42 33#3
33
  • : score 33 · #3
32% 2% None First reading
4 Forcepoint US New entry 31 , range 10–40 31#4
31
  • : score 31 · #4
23% 5% None First reading
5 Netskope US New entry 21 , range 6–36 21#5
21
  • : score 21 · #5
16% 5% None First reading
6 Proofpoint US New entry 10 , range 4–34 10#6
10
  • : score 10 · #6
10% 5% None First reading
7 Broadcom Symantec DLP US New entry 8 , range 3–33 8#7
8
  • : score 8 · #7
10% 2% None First reading
8 Trellix DLP US New entry 7 , range 2–31 7#8
7
  • : score 7 · #8
8% 2% None First reading
9 Microsoft Defender for Cloud Apps US New entry 6 , range 2–31 6#9
6
  • : score 6 · #9
7% 2% None First reading
10 Palo Alto Prisma US New entry 3 , range 1–21 3#10
3
  • : score 3 · #10
5% 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 reddit.com Community 5.0% 2 of 4 3 Not read
2 connectab2b.com Community 1.7% 1 of 4 1 Not read

Questions asked

QuestionLanguageMost recommended
¿Qué herramientas pueden impedir que los empleados compartan información confidencial fuera de la empresa? Spanish Forcepoint, Microsoft Purview, Netskope and Proofpoint, tied
¿Qué debería usar una empresa para evitar fugas de datos por correo electrónico y aplicaciones en la nube? Spanish Broadcom Symantec DLP, Google Workspace DLP, Google Workspace Security, Microsoft Purview and Netskope, tied
¿Cómo puede una empresa proteger los datos de sus clientes en los portátiles de los empleados? Spanish No brand recommended
¿Qué software ayuda a evitar que los archivos confidenciales salgan de una empresa? Spanish Forcepoint, Microsoft Purview and Trellix DLP, tied
¿Cómo puedo evitar que el personal envíe por correo electrónico datos de clientes a sus cuentas personales? Spanish Microsoft Purview, Proofpoint and Trend Micro, tied
¿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

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