The most visible DLP tools in Italy, October 2026

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

Most cited source

cisa.gov

13citations

From ChatGPT

Where engines disagree most

Netskope

1/4engines put it in their top three

Top three on ChatGPT, not on Google AI Mode, Gemini and Google AI Overviews

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 38–59 46#1
46
  • : score 46 · #1
47% 19% First reading
2 Google Workspace Security US New entry 36 , range 30–46 36#2
36
  • : score 36 · #2
34% 8% None First reading
3 Google Workspace DLP US New entry 34 , range 21–43 34#3
34
  • : score 34 · #3
28% 7% None First reading
4 Netskope US New entry 30 , range 8–39 30#4
30
  • : score 30 · #4
16% 9% None First reading
5 Forcepoint US New entry 14 , range 5–35 14#5
14
  • : score 14 · #5
13% 5% First reading
= 6 Broadcom Symantec DLP US New entry 6 , range 2–31 6= #6
6
  • : score 6 · #6
7% 2% First reading
= 6 Microsoft Defender for Cloud Apps US New entry 6 , range 3–31 6= #6
6
  • : score 6 · #6
9% 0% None First reading
8 Zscaler US New entry 5 , range 1–30 5#8
5
  • : score 5 · #8
5% 2% None First reading
9 Proofpoint US New entry 4 , range 1–27 4#9
4
  • : score 4 · #9
4% 2% First reading
10 Trellix DLP US New entry 4 , range 1–24 4#10
4
  • : score 4 · #10
6% 0% 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 cisa.gov Regulator 10.0% 1 of 4 11 Not read
2 nist.gov Regulator 8.3% 1 of 4 9 Not read
3 youtube.com Social 8.3% 2 of 4 8 Not read
4 europa.eu Regulator 3.3% 2 of 4 5 Not read
5 garanteprivacy.it Regulator 1.7% 1 of 4 5 Not read
6 github.com Vendor site 3.3% 1 of 4 4 Not read
7 reddit.com Community 6.7% 1 of 4 4 Not read
8 bulltech.it Consultancy 3.3% 1 of 4 2 2
9 checkpoint.com Vendor site 5.0% 2 of 4 3 Not read
10 ibm.com Vendor site 5.0% 3 of 4 3 Not read

Questions asked

QuestionLanguageMost recommended
how do companies prevent data leaks across email, browsers, and file storage English Forcepoint, Google Workspace DLP, Google Workspace Security, Microsoft Purview and Netskope, tied
can one policy protect sensitive data on laptops and in cloud services English Microsoft Purview
what can replace manual checks for employees sharing confidential files English Google Workspace DLP, Google Workspace Security, Microsoft Purview, Netskope and Proofpoint, tied
how can we replace separate rules for email and endpoint data leaks English Palo Alto Networks SASE
what can replace blocking every file upload to prevent data leaks English 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