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Fencer: Full Stack Security for Startups — 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
abdallah-hammad.com ↗	73 match 1 shared topics	Abdallah Adel \| Security Owner for Startups	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
rockforthq.com ↗	71 match 1 shared topics	Rockfort Security: VAPT & Cybersecurity for Startups & SMBs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oxfordinfosec.com ↗	70 match 1 shared topics	Information Security for Small Businesses & Startups \| Oxford Infosec	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
csobreakfastclub.com ↗	70 match 1 shared topics	Home \| CxO Security Forum	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cxoforum.org ↗	70 match 1 shared topics	Home \| CxO Security Forum	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cybersecurityforbusiness.net ↗	69 match 1 shared topics	Cybersecurity for Business	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
strongkeep.com ↗	69 match 1 shared topics	Cybersecurity for Small Businesses \| StrongKeep	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 9
iciteidentity.com ↗	69 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
icitetrust.com ↗	69 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robots llmsaihumans	emailphone	none
icitethreat.com ↗	69 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
iciteshield.com ↗	69 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
icitesecurity.com ↗	69 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
icitesecureops.com ↗	69 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robots llmsaihumans	emailphone	none
icitesecure.com ↗	69 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
iciterisk.com ↗	69 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robots llmsaihumans	emailphone	none
iciteresponse.com ↗	69 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
iciteprotect.com ↗	69 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
iciteopstools.com ↗	69 match 1 shared topics	Identity Intelligence Platform for Security Operations	en	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.