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OPSEC for OSINT — 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
avnet.at ↗	62 match 1 shared topics	Big Data for Cyber Defense \| ONYPHE	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
aaa-sec.com ↗	62 match 1 shared topics	AAA-sec Homepage	de	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberlope.info ↗	62 match 1 shared topics	Cyberlope – Cyber Security for Supply Chains / CRA	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberlope.gmbh ↗	62 match 1 shared topics	Cyberlope – Cyber Security for Supply Chains / CRA	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
apm4animals.at ↗	62 match 1 shared topics	DeepSec IDSC 2026 Europe - Vienna, November 17–20 2026	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	partial · 1
problemgo.com ↗	61 match 1 shared topics	problemgo • secure gateway	de	information-and-network-security	robotsllmsaihumans	emailphone	none
dietland-osint.ch ↗	61 match 1 shared topics	OSINT Dienstleistungen – Professionelle Open Source Intelligence \| Dietland GmbH \| Dietland OSINT	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
atsec.at ↗	61 match 1 shared topics	atsec – INFORMATION SECURITY	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
appsec.ch ↗	61 match 1 shared topics	Application Security Schweiz: AppSec Assessment, SSDLC & DevSecOps \| Michael Schuler	Switzerland de	information-and-network-security	robotsllmsaihumans	email phone	none
basics4net.ch ↗	61 match 1 shared topics	basics4net \| IT & OT Security & Forensics	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
forensic-data-capture.ch ↗	61 match 1 shared topics	Digital Forensics mit Schweizer Präzision	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
forensic-investigations.ch ↗	61 match 1 shared topics	Digital Forensics mit Schweizer Präzision	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber-sicher.org ↗	61 match 1 shared topics	Cybersicherheit – Schutz vor Online-Bedrohungen	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cyber-sicher.info ↗	61 match 1 shared topics	Cybersicherheit – Schutz vor Online-Bedrohungen	de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
forensixxx-data.com ↗	61 match 1 shared topics	IT-Forensik & digitale Spurensicherung \| forensiXXX	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
forensixxx.com ↗	61 match 1 shared topics	IT-Forensik & digitale Spurensicherung \| forensiXXX	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
forentec.ch ↗	61 match 1 shared topics	Forentec AG \| Schweizer Cybersicherheit, Digitale Forensik,…	Switzerland de	information-and-network-security	robotsllmsaihumans	email phone	none
formsly.ch ↗	61 match 1 shared topics	Online-Formulare & Umfragen nach Schweizer Datenschutz (DSG) \| Formsly	Switzerland 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.