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FAST Okta to Entra Migration Tool | Cyclotron Beam — 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
dradis.com ↗	66 match 2 shared topics	Self-Hosted Penetration Testing Management Tool \| Dradis	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
dradisframework.com ↗	66 match 2 shared topics	Self-Hosted Penetration Testing Management Tool \| Dradis	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
changebase.com ↗	66 match 2 shared topics	Migration & modernization for Microsoft Platforms \| Quest	en	information-and-network-security	robotsllmsaihumans	emailphone	none
checkin.com ↗	64 match 2 shared topics	Fast Identity Verification \| Superior User Experience – Checkin.com	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0ath.io ↗	64 match 2 shared topics	Øath - Unified Auth Layer for vSMPL \| Zero-Friction Authentication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fsociety.dev ↗	64 match 2 shared topics	fsociety \| A Penetration Testing Framework	en	technology-and-computing	robotsllmsaihumans	emailphone	none
abusetest.com ↗	64 match 2 shared topics	AbuseTest — Ethical Abuse Testing & Operational Misuse Validation	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
stripedeck.com ↗	64 match 2 shared topics	Mattermost \| Collaboration Platform for Mission Critical Work	United States~ en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
blueteamsecurity.co.uk ↗	64 match 2 shared topics	IT on the Couch - Talking everything Information Security, from Penetration Testing, System Hardening to Information Assurance.	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
identityverification.com ↗	63 match 2 shared topics	Identity Verification and KYC Solutions \| Cognito	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
idverification.com ↗	63 match 2 shared topics	Identity Verification and KYC Solutions \| Cognito	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
pacomgroup.com ↗	63 match 2 shared topics	Pacom Portal – SECURITY INTEGRATION PLATFORMS	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
heliosphere.io ↗	63 match 2 shared topics	Snyk welcomes Helios, accelerating our ASPM vision with runtime insights \| Snyk	en	information-and-network-security	robotsllmsaihumans	emailphone	none
easscan.org ↗	63 match 2 shared topics	Ethereum Attestation Service - Explorer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
charlesbeane.com ↗	63 match 2 shared topics	Charles Casey Beane Portfolio \| Charles "Casey" Beane	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kyiri.com ↗	63 match 2 shared topics	Kyiri — Enterprise IT, DevOps & Cybersecurity Solutions	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
achievoz.com ↗	63 match 2 shared topics	Achievoz - Cybersecurity and Technology from A to Z	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
ianmattas.com ↗	63 match 2 shared topics	0xZemi // Ian Mattas — binary exploitation & pwn	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.