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27LABS - Home of CYBERsitter and Other Internet Security Products — 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
esetsoftware.uk ↗	73 match 1 shared topics	Antivirus and Internet Security for Home & Business \| ESET	United Kingdom en	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
cyphrqi.com ↗	72 match 1 shared topics	Home - IT and Cybersecurity Products & Services	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
keepsolid.com ↗	72 match 1 shared topics	Cybersecurity Products and Tools	en	information-and-network-security	robots llmsaihumans	emailphone	none
bstsecurity.com ↗	71 match 1 shared topics	BST Security - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
internetsecuritybucks.co.uk ↗	71 match 1 shared topics	Internet Security In Bucks	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
eset.com ↗	70 match 1 shared topics	ESET Cybersecurity \| Enterprise, Business and Home Solutions \| ESET	en	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
kastensauber.com ↗	70 match 1 shared topics	ESET Cybersecurity \| Enterprise, Business and Home Solutions \| ESET	en	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
hssgroupinc.com ↗	70 match 1 shared topics	security and training \| protection \| secure \| cybersecurity	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kaskatech.com ↗	70 match 1 shared topics	Kaska Technologies & Services — Cybersecurity Products & Services	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
antivirushelpers.com ↗	70 match 1 shared topics	Anti Virus Solutions Africa \| Antivirus and Internet Security in Uganda	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
enterprisecybersecurity.info ↗	69 match 1 shared topics	Enterprise Cybersecurity - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
apemtic.com ↗	69 match 1 shared topics	Cybersecurity Home	en	information-and-network-security	robotsllmsaihumans	email phone	none
apilchand.com ↗	69 match 1 shared topics	Apil Chand \| Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0patch.com ↗	69 match 1 shared topics	Better Security Patches \| 0patch	en	information-and-network-security DatoCMS	robotsllmsaihumans	emailphone	none
onkark.com ↗	69 match 1 shared topics	Onkar Koli — Product Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
keepernet.io ↗	69 match 1 shared topics	Keepernet - Offensive Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
saltcybersecurity.co.uk ↗	69 match 1 shared topics	Home - Salt Cybersecurity	United Kingdom en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
fuzzinglabs.com ↗	69 match 1 shared topics	Advanced Cybersecurity Solutions \| FuzzingLabs	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.