The most visible DLP tools 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

Most cited source

nist.gov

10citations

From ChatGPT

Where engines disagree most

Forcepoint

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
– Nightfall AI US Unranked Too few answers Not measured
–
  • : Unranked
2% 0% None First reading
– Palo Alto Networks Enterprise DLP US Unranked Too few answers Not measured
–
  • : Unranked
2% 0% None First reading
– Palo Alto Prisma US Unranked Too few answers Not measured
–
  • : Unranked
3% 0% None First reading
– Seclore IN Unranked Too few answers Not measured
–
  • : Unranked
1% 0% None First reading
– Teramind US Unranked Too few answers Not measured
–
  • : Unranked
0% 0% First reading
– Tessian GB Unranked Too few answers Not measured
–
  • : Unranked
1% 0% None First reading
– Trend Micro Data Loss Prevention US Unranked Too few answers Not measured
–
  • : Unranked
1% 0% None First reading
– Varonis US Unranked Too few answers Not measured
–
  • : Unranked
2% 0% None First reading
– Virtru US Unranked Too few answers Not measured
–
  • : Unranked
0% 0% None First reading
– Zivver NL Unranked Too few answers Not measured
–
  • : Unranked
0% 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 nist.gov Regulator 8.3% 1 of 4 8 2
2 youtube.com Social 10.0% 2 of 4 10 Not read
3 linkedin.com Social 10.0% 1 of 4 9 Not read
4 cisa.gov Regulator 8.3% 1 of 4 6 Not read
5 nhimg.org Industry authority 5.0% 2 of 4 6 Not read
6 bund.de Regulator 5.0% 1 of 4 5 Not read
7 boddenberg.de Consultancy 5.0% 1 of 4 1 2
8 buse.de Consultancy 5.0% 3 of 4 1 Not read
9 europa.eu Regulator 5.0% 2 of 4 3 Not read
10 filecloud.com Vendor site 5.0% 2 of 4 1 Not read

Questions asked

QuestionLanguageMost recommended
Welche Tools können verhindern, dass Mitarbeitende sensible Daten nach außen weitergeben? German Microsoft Purview
Was sollte ein Unternehmen einsetzen, um Datenlecks über E-Mail und Cloud-Apps zu verhindern? German Microsoft Defender for Cloud Apps and Microsoft Purview, tied
Wie kann ein Unternehmen Kundendaten auf den Laptops der Mitarbeitenden schützen? German No brand recommended
Welche Software verhindert, dass vertrauliche Dateien ein Unternehmen verlassen? German Microsoft Purview and Netskope, tied
Wie verhindere ich, dass Mitarbeitende Kundendaten per E-Mail an private Konten schicken? German No brand recommended
Wie können wir sensible Dateien aufspüren, die in nicht genehmigte Apps hochgeladen werden? German No brand recommended
Wie verhindern Unternehmen, dass Mitarbeitende vertrauliche Daten auf USB-Sticks kopieren? German Microsoft Purview
Wie kann ich sehen, wo sensible Unternehmensdaten geteilt werden? German No brand recommended
Sollten wir sensible Daten auf den Endgeräten oder in Cloud-Apps schützen? German No brand recommended
Ist es besser, Datenübertragungen zu blockieren oder Sicherheitsteams zu alarmieren? German No brand recommended

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