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SynoCores — IT Consulting, Staffing & Cloud Security — 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
codetechsolutions.co.uk ↗	74 match 1 shared topics	IT Consulting Services: AI Cloud Security & Outsourcing	GB en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
johnkerubs.com ↗	73 match 1 shared topics	ARX XII \| Global IT Consulting & Cybersecurity Services \| Philadelphia-Based	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
axiomitconsulting.com ↗	73 match 1 shared topics	Network Security - Axiom IT Consulting	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
fidarainc.com ↗	73 match 1 shared topics	Fidara Consulting Inc. \| Identity and Cloud Security Architecture	en	information-and-network-security	robotsllmsaihumans	email phone	none
7kcs.com ↗	72 match 1 shared topics	7KCS - IT & Security Consulting Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
caveatconsulting.io ↗	72 match 1 shared topics	Caveat Consulting — Security when it matters most	en	information-and-network-security	robotsllmsaihumans	emailphone	none
uptimebridge.com ↗	72 match 1 shared topics	UptimeBridge - IT Consulting Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
useclickbox.com ↗	72 match 1 shared topics	ClickBox — Enterprise Cybersecurity Consulting & SOCaaS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersafehaven.co.uk ↗	72 match 1 shared topics	Cyber security consulting experts for businesses	GB en	information-and-network-security	robotsllmsaihumans	email phone	none
zvolvant.com ↗	72 match 1 shared topics	Zvolvant Solutions – Cyber Security & Cloud Consulting	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
useqastenai.com ↗	71 match 1 shared topics	Senior Engineering & Security Consultants	en	information-and-network-security	robotsllmsaihumans	emailphone	none
useqasten.com ↗	71 match 1 shared topics	Senior Engineering & Security Consultants	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ccrit.com ↗	71 match 1 shared topics	CCRIT LLC \| Enterprise Cybersecurity Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aliudsolutions.co.uk ↗	71 match 1 shared topics	Aliud Solutions — Secure IT Consultancy	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
dephiantconsultinginc.com ↗	71 match 1 shared topics	Dephiant Consulting \| Global Cybersecurity Advisory · vCISO · Cloud Security	en	information-and-network-security	robots llmsaihumans	emailphone	none
zwbconsulting.com ↗	71 match 1 shared topics	ZWB Consulting - Technology & Cybersecurity Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2cr.io ↗	71 match 1 shared topics	Home - 2CR LLC Cyber Security Consulting	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
castlesecurityconsulting.com ↗	71 match 1 shared topics	Consulting \| Castle Security Consulting \| Manchester	en	information-and-network-security Wix	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.