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S3 Uk alternatives & similar sites

IT Security | Management | Training — 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
csrmc.org ↗	74 match 1 shared topics	BAI Information Security: Risk Management Framework Training	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
kuzushi.dev ↗	74 match 1 shared topics	Kuzushi Security \| Managed Product Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
qrpatrol.app ↗	73 match 1 shared topics	QRPatrol - Modern Security Patrol Management	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
bloqd.io ↗	72 match 1 shared topics	bloqd - Centralized Fail2ban Security Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
css-security.sbs ↗	72 match 1 shared topics	CSS Security System — Smart Security Management Platform for Laos	en	information-and-network-security	robotsllmsaihumans	emailphone	none
breakthesec.com ↗	72 match 1 shared topics	IT Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
newcormgt.com ↗	72 match 1 shared topics	Electronic Security Compliance Management	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
accuratecybersecurity.com ↗	72 match 1 shared topics	Cyber security standard Certificate UK \| IT Security Management System	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3sixtysecure.com ↗	71 match 1 shared topics	3Sixty Secure \| Cybersecurity Solutions, Risk Management	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
rmsiusa.com ↗	71 match 1 shared topics	Global Security & Risk Management Firm \| RMS International	en	information-and-network-security	robotsllmsaihumans	email phone	partial · 8
vendrespect.com ↗	71 match 1 shared topics	Cybersecurity Scoring and Vendor Management - VendRespect	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
theinfosecteam.com ↗	71 match 1 shared topics	TheInfoSecTeam \| Managed Cybersecurity Services	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
avoidscam.online ↗	71 match 1 shared topics	Penetration Testing & Security Training \| ClickSecure.AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
meetprescientassurance.com ↗	71 match 1 shared topics	Home \| Prescient Security	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
meetwithprescientassurance.com ↗	71 match 1 shared topics	Home \| Prescient Security	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
dotcacilian.com ↗	71 match 1 shared topics	Home \| Prescient Security	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
thekernel.com ↗	71 match 1 shared topics	Cybersecurity Distributor in UAE \| Identity & Access Management \| The Kernel	en	information-and-network-security	robotsllmsaihumans	emailphone	none
4wardshield.com ↗	71 match 1 shared topics	Risk Associates \| Managed Security & Compliance Experts	Australia~ en	information-and-network-security WordPress	robotsllmsaihumans	email phone	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.