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AI-Native Email Security That Actually Stops Modern Threats — 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
mimecast.pk ↗	69 match 1 shared topics	Human Risk Management & Advanced Email Security \| Mimecast	en	information-and-network-security	robotsllmsaihumans	emailphone	none
simplymigrate.com ↗	69 match 1 shared topics	Human Risk Management & Advanced Email Security \| Mimecast	en	information-and-network-security	robotsllmsaihumans	emailphone	none
decentsec.com ↗	69 match 1 shared topics	DecentSec \| Security Thats Decent	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nationalcybersecurity.com ↗	69 match 1 shared topics	National Cyber Security: Expert Insights on Cybersecurity Threats	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
resistcyberops.org ↗	69 match 1 shared topics	Resist CyberOps \| Cybersecurity and IT Operations Built for Modern Threats	en	information-and-network-security	robotsllmsaihumans	email phone	none
resistcyberops.net ↗	69 match 1 shared topics	Resist CyberOps \| Cybersecurity and IT Operations Built for Modern Threats	en	information-and-network-security	robotsllmsaihumans	email phone	none
resistcyberops.com ↗	69 match 1 shared topics	Resist CyberOps \| Cybersecurity and IT Operations Built for Modern Threats	en	information-and-network-security	robotsllmsaihumans	email phone	none
aisy.ai ↗	69 match 1 shared topics	Aisy \| Threat-focused security that fixes what matters	en	information-and-network-security	robotsllmsaihumans	emailphone	none
neotrust.ai ↗	69 match 1 shared topics	neotrust.ai - AI-native network security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
foxhat.org ↗	68 match 1 shared topics	FoxHat — Elite Offensive Security & Threat Intel	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
cveye.net ↗	68 match 1 shared topics	CVEye — Distributed Security for Modern Teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mck.com ↗	68 match 1 shared topics	MCK \| AI-Native Managed Security Service Provider	en	information-and-network-security	robotsllmsaihumans	emailphone	none
advnce.app ↗	68 match 1 shared topics	ADVNCE - Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
glance-co.com ↗	68 match 1 shared topics	Email Security for the People You Love	en	information-and-network-security	robotsllmsaihumans	email phone	partial · 7
sktechnology.services ↗	68 match 1 shared topics	SK Technology \| Modern Security Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
domainscores.net ↗	68 match 1 shared topics	Domain & Email Security Check — Free Trust Score \| DomainScores	en	information-and-network-security	robots llmsaihumans	emailphone	none
defenai.com ↗	68 match 1 shared topics	AI Cybersecurity Solutions for Modern Businesses	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deportrack.net ↗	68 match 1 shared topics	Planisys \| Protective DNS Firewall, Email Security, CDN WAF and Transactional Email Platforms	United States~ 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.