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Everydayidentity alternatives & similar sites

Everyday Identity — 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
basedagents.ai ↗	67 match 2 shared topics	BasedAgents — Identity for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
bridgetos.com ↗	66 match 2 shared topics	BridgetOS \| Recursive Identity Enforcement	en	information-and-network-security	robotsllmsaihumans	emailphone	none
d3cipher.ai ↗	66 match 2 shared topics	d3cipher.ai \| Identity is the Sum of History	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helloveriff.com ↗	65 match 2 shared topics	Global AI Identity Verification & KYC Solutions - Veriff	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberstrategy.tech ↗	65 match 2 shared topics	CyberStrategy Consulting \| Identity, Software, and AI Automation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
4tress.org ↗	65 match 2 shared topics	4tress.org — Decentralized Identity for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
onmero.com ↗	65 match 2 shared topics	Onmero International \| AI-Powered Identity & Security	en	information-and-network-security	robotsllmsaihumans	email phone	none
entro.security ↗	65 match 2 shared topics	Agentic AI & Non-Human Identity Security Platform \| Entro Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
voicecert.com ↗	65 match 2 shared topics	VoiceCert — Certify & Trademark Your Voice Identity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1id.com ↗	64 match 2 shared topics	1id.com — Hardware-Backed Identity for AI Agents & Relying Parties	en	information-and-network-security	robots llmsaihumans	emailphone	none
vitational.com ↗	64 match 2 shared topics	Teleport: Unified Identity Securing Classic & AI Infrastructure \| Teleport	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
voiceproof.ai ↗	64 match 2 shared topics	VoiceProof AI - Secure Your Voice Identity from Cloning & Deepfakes	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hexaeight.com ↗	64 match 2 shared topics	HexaEight - Cryptographic Identity for AI Agents, Humans, and Machines	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
astrix.security ↗	64 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
evol13.com ↗	64 match 2 shared topics	AgenticSOC: AI-Driven Security Operations	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
apiclub.in ↗	63 match 2 shared topics	APIclub.in - AI-Powered Identity & Business Intelligence Platform \| Secure Digital Verification	India en	artificial-intelligence	robotsllmsaihumans	emailphone	none
entitysense.ai ↗	63 match 2 shared topics	EntitySense \| Behavioral Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
buildsable.com ↗	63 match 2 shared topics	Sable Network — Confidential AI Infrastructure	en	artificial-intelligence	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.