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Oblique alternatives & similar sites

Oblique | Self-serve identity and access management — 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
gluu.org ↗	77 match 1 shared topics	Open Source Identity and Access Management	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
beyondid.com ↗	75 match 1 shared topics	BeyondID: Identity and Access Management for Digital Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
geej.dev ↗	73 match 1 shared topics	geej.dev — Identity & Access Management Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vornrathanak.xyz ↗	73 match 1 shared topics	VORN Rathanak — Access & Identity Management	en	information-and-network-security	robotsllmsaihumans	email phone	none
1password.cc ↗	72 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1pass.world ↗	72 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1password.com ↗	72 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
my-1password.com ↗	72 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1passwordsucks.com ↗	72 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1passwordbusiness.com ↗	72 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1password.net ↗	72 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1password.io ↗	72 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1passwd.net ↗	72 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1passwd.com ↗	72 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1pw.app ↗	72 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agilebits.org ↗	72 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1pstage.com ↗	72 match 1 shared topics	Passwords, Secrets, and Access Management \| 1Password	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bio-key.com ↗	72 match 1 shared topics	BIO-Key \| Biometric Authentication & Identity Access Management	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	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.