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Sites similar to cybervisir.com

Cybervisir alternatives & similar sites

Risk yüzeyinizi tek görüş alanında toplayın. · CyberVisir — 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
octosec.net ↗	63 match 1 shared topics	Octosec \| Siber Güvenlik Topluluğu	tr	information-and-network-security	robotsllmsaihumans	emailphone	none
kaysiber.com ↗	63 match 1 shared topics	Ana Sayfa - Cyber Güvenlik Eğitim Platformu	tr	information-and-network-security	robotsllmsaihumans	emailphone	none
milsafe.com ↗	63 match 1 shared topics	Milsafe Siber Güvenlik	tr	information-and-network-security	robotsllmsaihumans	emailphone	none
cumbur.net ↗	62 match 1 shared topics	CUMBUR.NET - Blog ve Siber Güvenlik Teknoloji Bilgilendirme Platformu	tr	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
cvebox.net ↗	62 match 1 shared topics	cvebox.net - Güvenlik Zafiyet Takip ve Otomatik Bildirim Platformu	tr	information-and-network-security WooCommerce	robotsllmsaihumans	emailphone	partial · 8
2dbilisim.com ↗	62 match 1 shared topics	2D Bilişim - 2D Bilişim ve Danışmanlık	tr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
gtiteknoloji.com ↗	62 match 1 shared topics	GTI Teknoloji	tr	information-and-network-security WordPress WooCommerce	robots llmsaihumans	email phone	none
eimzakolay.com ↗	62 match 1 shared topics	Kolay e-İmza – Hızlı, Güvenilir ve Kolay	tr	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
turkcucephe.com ↗	62 match 1 shared topics	Turkcucephe \| Siber Güvenlik için Profesyonel Kurumsal Çözümler	Turkey~ tr	information-and-network-security	robotsllmsaihumans	emailphone	none
turkeyko.com ↗	62 match 1 shared topics	Turkeyko \| Siber Güvenlik için Profesyonel Kurumsal Çözümler	Turkey~ tr	information-and-network-security	robotsllmsaihumans	emailphone	none
ekabilgisayar.com ↗	62 match 1 shared topics	EKA Bilgisayar	tr	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
eksenbt.com ↗	62 match 1 shared topics	Eksen Bilişim \| Sıramatik - Kiosk ve Güvenlik Sistemleri	tr	information-and-network-security	robotsllmsaihumans	email phone	none
guardpot.com ↗	62 match 1 shared topics	Guardpot \| Honeypot & Aldatma Platformu — Yapay Zeka Destekli Siber Güvenlik	tr	information-and-network-security	robotsllmsaihumans	emailphone	partial · 5
guardbt.com ↗	62 match 1 shared topics	Guard Bilgi Teknolojileri A.Ş – Siber Güvenlik Çözümlerimizle Gardınızı Alın	tr	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
kclogger.com ↗	62 match 1 shared topics	KcLogger Hotspot ve 5651 Loglama Çözümleri \| Network Güvenlik	tr	information-and-network-security	robotsllmsaihumans	emailphone	none
eilhan.com ↗	61 match 1 shared topics	Emir Ilhan	tr	information-and-network-security	robotsllmsaihumans	emailphone	none
ofiz.net ↗	61 match 1 shared topics	Hash Generator - Güvenli Hash Oluşturma Aracı	tr	information-and-network-security	robotsllmsaihumans	emailphone	none
phishtemp.com ↗	61 match 1 shared topics	Ana Sayfa - Kimlik Avı Şablonları	tr	information-and-network-security WordPress WooCommerce	robots llmsaihumans	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.