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CISP (Czech Israel Students Program) – Building bridges — 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
citybridge.net ↗	65 match 1 shared topics	The International Cybersecurity Dialogue » Building a cyber bridge	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
chefsecure.com ↗	64 match 1 shared topics	Learn Cybersecurity for Hackers, Students & – Chef Secure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
owl-advisor.com ↗	64 match 1 shared topics	IAM Advisor – Build trust and value	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cias-isao.org ↗	64 match 1 shared topics	CIAS ISAO – Community Cybersecurity Programs	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ciasisao.org ↗	64 match 1 shared topics	CIAS ISAO – Community Cybersecurity Programs	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
1appteam.com ↗	64 match 1 shared topics	1APP Team – Bridging Network Apps & Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
henneke.me ↗	63 match 1 shared topics	Fabian Henneke – Math grad student & IT security enthusiast	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agileriskmanagementsystem.com ↗	63 match 1 shared topics	Build An Agile Security Program with The Agile Security System™	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2bsecureinc.com ↗	63 match 1 shared topics	Cybersecurity Program - 2BSecure	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
funnysystems.com ↗	63 match 1 shared topics	Funny Systems - Building a great defense is more difficult than offense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oyousef.com ↗	63 match 1 shared topics	Omar Yousef - Cybersecurity Student	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rolandgoos.com ↗	63 match 1 shared topics	Roland Goos \| Cybersecurity Student	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abnesb.com ↗	63 match 1 shared topics	1Password SCIM bridge	en	information-and-network-security	robotsllmsaihumans	emailphone	none
yusainfotech.com ↗	62 match 1 shared topics	YuSa infotech – Leading Provider of IAM & Cybersecurity Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
baelfiresecurity.com ↗	62 match 1 shared topics	Baelfire's Thoughts – Programmer, Electrical Engineer, Maker, Security Researcher, ...	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fiskconsulting.co.uk ↗	62 match 1 shared topics	Fisk Consulting - Building Resilience From the Inside Out - Building Digital Resilience	GB en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
tridentseasystems.com ↗	62 match 1 shared topics	Trident Sea Systems – Protecting Your Maritime Assets	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
drawbridgepartners.co.uk ↗	62 match 1 shared topics	Cybersecurity for Alternative Investments \| Drawbridge	GB en	information-and-network-security WordPress	robotsllmsaihumans	email phone	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.