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Enterprise Authorization Server | Oauth2 Server — 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
getssojet.com ↗	67 match 2 shared topics	SSOJet \| Add Enterprise SSO Without Rebuilding Your Auth	United States~ en	technology-and-computing	robotsllmsaihumans	email phone	partial · 8
easscan.org ↗	66 match 2 shared topics	Ethereum Attestation Service - Explorer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gcxone.ai ↗	66 match 2 shared topics	GCX One - Advanced Enterprise Security & Surveillance Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gcxone.io ↗	66 match 2 shared topics	GCX One - Advanced Enterprise Security & Surveillance Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mena.me ↗	66 match 2 shared topics	MENA: Enterprise Infrastructure for Execution, Detection, and Trust	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcppedia.org ↗	65 match 2 shared topics	MCPpedia — Find the Right MCP Server	en	information-and-network-security	robots llmsaihumans	emailphone	none
0ath.io ↗	65 match 2 shared topics	Øath - Unified Auth Layer for vSMPL \| Zero-Friction Authentication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tenovalabs.com ↗	65 match 2 shared topics	Tenova - Enterprise Blockchain Infrastructure	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mcp-scorecard.ai ↗	64 match 2 shared topics	MCP Scorecard — Trust Scores for Every MCP Server	en	technology-and-computing	robots llmsaihumans	emailphone	none
mcpscorecard.com ↗	64 match 2 shared topics	MCP Scorecard — Trust Scores for Every MCP Server	en	technology-and-computing	robots llmsaihumans	emailphone	none
aarlyxx.com ↗	64 match 2 shared topics	gitlogy — Git-native automation. Security built in.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
giovanniv.com ↗	64 match 2 shared topics	Giovanni Venegas \| Platform Modernization Architect	en	information-and-network-security	robotsllmsaihumans	email phone	none
lyfe.ninja ↗	63 match 2 shared topics	BlkSeal \| Content Integrity & Verification Platform \| lyfe.ninja	en	information-and-network-security	robotsllmsaihumans	emailphone	none
githubreportcard.com ↗	63 match 2 shared topics	Perforce Puppet: Infrastructure Automation & Operations at Scale	en	technology-and-computing Drupal	robotsllmsaihumans	emailphone	none
ahmadfadel.online ↗	63 match 2 shared topics	Ahmad Fadel \| Syria \| Not found \| Information Engin...	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	partial · 7
neilmadden.blog ↗	63 match 2 shared topics	Neil Madden – Thoughts on application security, applied crypto, philosophy and logic	en	information-and-network-security WordPress Reaction Commerce	robotsllmsaihumans	emailphone	full · 12
meg.rip ↗	63 match 2 shared topics	Micro Evaluation Group	en	technology-and-computing Ghost	robotsllmsaihumans	emailphone	none
misi.tech ↗	63 match 2 shared topics	Technology Advancement Center – Innovation at the Speed of Inspiration	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.