similar sites

‹ Profile AI Report Tools

Sites similar to ref-enterprise.com

REF Protocol — Cryptographic Review Authentication · ranked by shared content topics & relevance

REF Protocol — Cryptographic Review Authentication

1 shared topicsinformation-and-network-security

OWYEH — Cryptographic R&D

1 shared topicsinformation-and-network-security

reclaimauth.com

Reclaim Protocol - Cryptographic Verification for Identity, Education, Employment & Travel

1 shared topicsinformation-and-network-security

reclaimproof.com

Reclaim Protocol - Cryptographic Verification for Identity, Education, Employment & Travel

1 shared topicsinformation-and-network-security

reclaimsafe.com

Reclaim Protocol - Cryptographic Verification for Identity, Education, Employment & Travel

1 shared topicsinformation-and-network-security

Sigilla — Cryptographic Proof Your Vendor's AI Stays Contained

1 shared topicsinformation-and-network-security

Kairos Lab — Security research & cryptographic innovation

1 shared topicsinformation-and-network-security

ASTIS — Cryptographic trust layer for business data

1 shared topicsinformation-and-network-security

1auth - Managed Authentication

1 shared topicsinformation-and-network-security

AegisVault — Cryptographic-Grade Password Security

1 shared topicsinformation-and-network-security

educateworkforce.com

1 shared topicsinformation-and-network-security

siteinternet.com

1 shared topicsinformation-and-network-security

GLPI - Authentication

1 shared topicsinformation-and-network-security

J.R. Manes | Cryptographic Systems Research

1 shared topicsinformation-and-network-security

Authenticalls KYC

1 shared topicsinformation-and-network-security

Carbonio Authentication

1 shared topicsinformation-and-network-security

regmastergroup.com

Carbonio Authentication

1 shared topicsinformation-and-network-security

Carbonio Authentication

1 shared topicsinformation-and-network-security

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.