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Identityfirst alternatives & similar sites

IdentityFirst — Evidence-first identity security — 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
identhic.com ↗	73 match 1 shared topics	Identhic \| Identity-First Security Consulting	en	information-and-network-security	robots llmsaihumans	emailphone	none
identitysecurityauthority.com ↗	71 match 1 shared topics	Identity Security Authority	en	information-and-network-security	robotsllmsaihumans	emailphone	full · 16
identity-decoded.com ↗	71 match 1 shared topics	Identity Decoded \| Weekly Identity Security Newsletter \| Identity Decoded	en	information-and-network-security	robotsllmsaihumans	emailphone	none
id-garden.com ↗	70 match 1 shared topics	ID Garden - Identity Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kyberiq.com ↗	70 match 1 shared topics	KyberIQ \| Machine Identity Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
stratexa.com ↗	70 match 1 shared topics	Stratexa — Cybersecurity & Identity Security Consulting	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
identityfusion.com ↗	70 match 1 shared topics	Identity Fusion Cybersecurity Experts Focused on Identity Solutions	en	information-and-network-security HubSpot	robotsllmsaihumans	email phone	none
idnsecurity.com ↗	70 match 1 shared topics	IDN Security \| Enterprise Identity Security	en	information-and-network-security	robotsllmsaihumans	email phone	none
identificatin.com ↗	70 match 1 shared topics	identification.com - Trusted Security & Identity Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	none
identificasion.com ↗	70 match 1 shared topics	identification.com - Trusted Security & Identity Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	none
identification.com ↗	70 match 1 shared topics	identification.com - Trusted Security & Identity Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	none
identificaton.com ↗	70 match 1 shared topics	identification.com - Trusted Security & Identity Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	none
idnetification.com ↗	70 match 1 shared topics	identification.com - Trusted Security & Identity Solutions	en	information-and-network-security	robotsllmsaihumans	email phone	none
overwatchid.com ↗	70 match 1 shared topics	Converged Identity Security \| OverWatchID	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
heyidentity.dev ↗	70 match 1 shared topics	heyidentity.dev - Fake Identity Provider	en	information-and-network-security	robotsllmsaihumans	emailphone	none
identra.ai ↗	70 match 1 shared topics	Identra \| Runtime identity security for human, machine, and AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
iamteam.com ↗	70 match 1 shared topics	IAMTEAM \| Identity Security \| Services & Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
identrail.com ↗	70 match 1 shared topics	Machine Identity Security \| AWS IAM Trust Path Analysis \| Identrail	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.