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Sites similar to zygotek.com

Zygotek alternatives & similar sites

Zygotek, Inc. | Cyber Security | Digital Risk | Ransomware | Healthcare — 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
3reasonsllc.com ↗	72 match 1 shared topics	Home \| 3 Reasons Consulting \| Cyber Security for Healthcare & DoD	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
digitallizard.net ↗	71 match 1 shared topics	MicroSolved, Inc. \| Rational Cyber Security	en	information-and-network-security	robotsllmsaihumans	email phone	none
cybersecurityalerts.net ↗	71 match 1 shared topics	Home \| Cyber Security Alerts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hawktechuk.com ↗	71 match 1 shared topics	H4WK Technologies \| Cyber Security & Digital Forensics Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mccormickcosecurity.co.uk ↗	70 match 1 shared topics	McCormickCo Security \| Cyber Security Experts UK	GB en	information-and-network-security	robotsllmsaihumans	email phone	none
advsec.tech ↗	70 match 1 shared topics	ADVsec – Cybersecurity & Digital Risk Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityangels.net ↗	70 match 1 shared topics	Cyber Security Angels	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
aegisservice.tech ↗	70 match 1 shared topics	Aegis Technology — Cyber Security for Australian Healthcare	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
joinbluetrust.com ↗	70 match 1 shared topics	Blue Trust — Digital Presence Security for healthcare practices	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalsecurefix.net ↗	70 match 1 shared topics	Digital Secure Fix \| Cybersecurity Experts	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
cyber-security-services.co.uk ↗	70 match 1 shared topics	Cyber Security Services	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctm360.com ↗	69 match 1 shared topics	Consolidated External Cybersecurity & Digital Risk Protection Platform \| CTM360	BH~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalsecurity.solutions ↗	69 match 1 shared topics	Digital Security Solutions	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
zyuksel.com ↗	69 match 1 shared topics	Zeki Yüksel \| IT Manager \| Cyber Security \| Infrastructure \| DevOps	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
swift-safe.com ↗	69 match 1 shared topics	SwiftSafe \| Cyber Security Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
swiftsafe.com ↗	69 match 1 shared topics	SwiftSafe \| Cyber Security Solutions	en	information-and-network-security	robots llmsaihumans	emailphone	none
cyberdd.co.uk ↗	69 match 1 shared topics	CyberDD \| Cyber Security	GB en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
5oaconsulting.com ↗	69 match 1 shared topics	Home - 5OA \| Cyber Security	en	information-and-network-security WordPress WooCommerce	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.