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Rmsec alternatives & similar sites

RMSec - Offensive Cybersecurity Services — 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
kyano.io ↗	80 match 1 shared topics	Kyano Cybersecurity Services	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
0xdigi.com ↗	78 match 1 shared topics	0xdigi — Cybersecurity & Offensive Tools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
5dcyber.net ↗	77 match 1 shared topics	5D Cyber - Enterprise-grade Cybersecurity Services	en	information-and-network-security	robotsllmsaihumans	email phone	none
360advanced.com ↗	77 match 1 shared topics	Managed Cybersecurity Services \| 360 Advanced	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
theinfosecteam.com ↗	77 match 1 shared topics	TheInfoSecTeam \| Managed Cybersecurity Services	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
blitservices.net ↗	77 match 1 shared topics	BL IT Services \| Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cynance.co ↗	76 match 1 shared topics	Cybersecurity Services In London By Cynance \| Cyber Security	Colombia en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
industrialcybersec.eu ↗	76 match 1 shared topics	Cybersecurity Services for Industry \| Secudea	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
rm-cyber.com ↗	75 match 1 shared topics	Cybersecurity \| RM Cyber	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
dotsecurityservices.com ↗	75 match 1 shared topics	DOT Security \| Cybersecurity Services for the Evolving World	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dotsecurity.com ↗	75 match 1 shared topics	DOT Security \| Cybersecurity Services for the Evolving World	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2bware.com ↗	75 match 1 shared topics	2Bware Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
pwnx.io ↗	75 match 1 shared topics	Hacktive Security – Advanced Cyber Security Services	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
1infosec.com ↗	75 match 1 shared topics	Offensive Cybersecurity Experts - CovertSwarm	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
1informationsecurity.com ↗	75 match 1 shared topics	Offensive Cybersecurity Experts - CovertSwarm	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0xpolar.com ↗	74 match 1 shared topics	0xpolar - Cybersecurity Research & Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rkon.com ↗	74 match 1 shared topics	IT Transformation & Cybersecurity Services Provider \| RKON	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0ffsec.com ↗	74 match 1 shared topics	Offsec Labs - Digital Forensics & Cybersecurity Services	en	information-and-network-security	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.