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Penetration Testing — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
crisec.de ↗	69 match 1 shared topics	CRISEC IT-Security \| Penetrationstests, Social Engineering & Managed SOC	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
schutzwerk.at ↗	68 match 1 shared topics	SCHUTZWERK \| Penetrationstests, Red Teaming & Embedded Security	Austria de	information-and-network-security	robotsllmsaihumans	email phone	none
csecure.de ↗	65 match 1 shared topics	Csecure - IT-Security Consulting & Integration	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
slashsec.at ↗	64 match 1 shared topics	Red Teaming & Pentesting Services DACH \| slashsec Wien	Austria de	information-and-network-security	robots llmsaihumans	email phone	none
csoc.de ↗	64 match 1 shared topics	Startseite - Certified Security Operations Center GmbH	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dcso.de ↗	64 match 1 shared topics	Deutsche Cyber-Sicherheitsorganisation \| DCSO	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nexgap.com ↗	64 match 1 shared topics	Offensive Security & Threat Intelligence \| NEXGAP	Germany~ de	information-and-network-security	robots llmsaihumans	emailphone	none
sopra-steria-group.at ↗	63 match 1 shared topics	Digitale Transformation & Cybersecurity \| Sopra Steria Österreich	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
sopra-steria.at ↗	63 match 1 shared topics	Digitale Transformation & Cybersecurity \| Sopra Steria Österreich	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
soprasteria-group.at ↗	63 match 1 shared topics	Digitale Transformation & Cybersecurity \| Sopra Steria Österreich	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
soprasteria.at ↗	63 match 1 shared topics	Digitale Transformation & Cybersecurity \| Sopra Steria Österreich	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
soprasteriagroup.at ↗	63 match 1 shared topics	Digitale Transformation & Cybersecurity \| Sopra Steria Österreich	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
cycademy.de ↗	63 match 1 shared topics	Cybersecurity für Executives & Krisensimulation \| Cycademy	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
tts-security.com ↗	63 match 1 shared topics	TTS GmbH - Ihr Partner für Informationssicherheit	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
section8.at ↗	63 match 1 shared topics	Section 8 - Section 8	Austria de	information-and-network-security WordPress	robots llmsaihumans	emailphone	full · 19
sektion8.at ↗	63 match 1 shared topics	Section 8 - Section 8	Austria de	information-and-network-security WordPress	robots llmsaihumans	emailphone	full · 19
dbjw-ausbildung.de ↗	63 match 1 shared topics	Installation Stammzertifikat DBJW	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
see-curity.at ↗	63 match 1 shared topics	Red Teaming & Security Consulting	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.