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Zerolayerops alternatives & similar sites

Zero Layer Ops — 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
nordlayer.com ↗	65 match shared topic	Network security platform for business \| NordLayer	en	information-and-network-security HubSpot CMS	robotsllmsaihumans	emailphone	none
vlayer.xyz ↗	65 match shared topic	vlayer: The verifiable data infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
netscout.com ↗	65 match shared topic	NETSCOUT Observability, Cybersecurity, DDoS, & AIOps Solutions	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
mobileiron.com ↗	65 match shared topic	MobileIron: A Leader in UEM & Zero Trust Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zerossl.com ↗	65 match shared topic	Free SSL Certificates and SSL Tools - ZeroSSL	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vectra.ai ↗	65 match shared topic	Vectra AI \| Cybersecurity AI That Stops Attacks Others Can’t	United States~ en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
zerodayinitiative.com ↗	65 match shared topic	Home - TrendAI™ Zero Day Initiative™ (ZDI)	en	information-and-network-security	robotsllmsaihumans	emailphone	none
immunityinc.com ↗	65 match shared topic	Zero Trust Network Access & Fraud Protection Solutions \| AppGate	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dropsecure.com ↗	65 match shared topic	End-to-end encrypted file transfers & secure storage \| DropSecure	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
specterops.io ↗	65 match shared topic	SpecterOps - Creators of BloodHound \| Leaders in Identity Attack Path Management	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
strongestlayer.org ↗	65 match shared topic	AI-Native Email Security That Actually Stops Modern Threats	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
zerofox.com ↗	65 match shared topic	ZeroFox \| External Cybersecurity.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
appgate.com ↗	65 match shared topic	Zero Trust Network Access & Fraud Protection Solutions \| AppGate	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threater.com ↗	65 match shared topic	threatER \| Enabling Zero-Trust at Scale	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
isecom.org ↗	65 match shared topic	ISECOM — Institute for Security and Open Methodologies (OSSTMM, RAV, OPST)	en	information-and-network-security	robots llmsaihumans	emailphone	full · 9
xcitium.com ↗	65 match shared topic	#1 Zero Trust Cybersecurity Platform \| Xcitium	United States~ en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
dmca.com ↗	55 match shared topic	Content Protection and Takedown Company Since 2006 \| DMCA.com	en	information-and-network-security	robotsllmsaihumans	emailphone	none
wpguardian.io ↗	55 match shared topic	Effective Security for WordPress Sites- WPGuardian	en	information-and-network-security WordPress	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.