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Passflow — Identity verification for regulated industries — 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
savekeepit.com ↗	64 match 2 shared topics	Keepit \| Dedicated Cloud Data Protection for all SaaS apps	en	cloud-computing Prismic	robots llmsaihumans	emailphone	none
ahmedajaz.com ↗	64 match 2 shared topics	Ahmedajaz \| Identity & Cloud Security Blog	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
jctest7.com ↗	64 match 2 shared topics	JumpCloud: Unified Platform for Identity, Access, & Devices	en	cloud-computing WordPress	robots llmsaihumans	emailphone	none
jcops.net ↗	64 match 2 shared topics	JumpCloud: Unified Platform for Identity, Access, & Devices	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none
garblecloud.com ↗	63 match 2 shared topics	GarbleCloud \| Data Encryption for Google Workspace	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mcsarathkumar.com ↗	62 match 2 shared topics	Sarathkumar MC - DevSecOps Professional & Cloud Security Specialist \| 16+ Certifications	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
4geeker.com ↗	62 match 2 shared topics	4GEEKER — IT Infrastructure for the Demanding	en	cloud-computing	robotsllmsaihumans	emailphone	none
ozlunara.com ↗	62 match 2 shared topics	Oz — Your Universe \| Cloud Security for Everyone	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jairocadena.com ↗	62 match 2 shared topics	Devices, Security and Identity in #Microsoft365 by Jairo Cadena \| Space to learn and discuss about Microsoft 365 devices, security, identity and related technologies	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
sayfcloud.com ↗	62 match 2 shared topics	Sayf — Disaster recovery, orchestrated.	en	cloud-computing Spree Commerce	robotsllmsaihumans	emailphone	none
threatreaction.com ↗	62 match 2 shared topics	Threat Reaction — AWS Cloud Threat Protection	en	information-and-network-security Reaction Commerce	robots llmsaihumans	emailphone	none
simply-discover.com ↗	62 match 2 shared topics	Customer-Hosted Platform for eDiscovery, Compliance, DSAR, Collaboration & Secure Delivery \| Simply Discover	en	cloud-computing	robotsllmsaihumans	emailphone	none
scepman.com ↗	62 match 2 shared topics	SCEPman: Cloud-Based Certificate Authority \| scepman-nuxt-app	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jasp.cloud ↗	62 match 2 shared topics	Jemurai Automated Cloud Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
galileomtz.com ↗	62 match 2 shared topics	Galileo Martinez — DevOps, Security & Cloud Infrastructure Engineer	en	cloud-computing	robotsllmsaihumans	emailphone	none
markmoline.com ↗	62 match 2 shared topics	Mark Moline — Security Engineering Leader	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nwss.co ↗	62 match 2 shared topics	AI Cloud Video Security for Businesses \| Envysion	Colombia en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jayanthkumar.com ↗	62 match 2 shared topics	Jayanth's Security Learnings and Observations	en	information-and-network-security Ghost	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.