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Permiso alternatives & similar sites

Detect and protect against human and non-human identity threats in real-time — 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
agent57.ai ↗	67 match 1 shared topics	Agent 57 — Identity Protection for the AI Era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
directoryshield.com ↗	66 match 1 shared topics	DirectoryShield - Intelligent Identity Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
skiaid.org ↗	66 match 1 shared topics	Skia — Sovereign Identity Provider	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
maskbunny.com ↗	66 match 1 shared topics	Identity Protection \| Cyber Security & Email Privacy \| Maskbunny	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bostonidentity.com ↗	66 match 1 shared topics	Boston Identity - IAM Services	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
threatdefx.com ↗	66 match 1 shared topics	ThreatDeFX - Ransomware Protection and Penetration testing	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
maskpit.com ↗	66 match 1 shared topics	MaskPit - Protect Your Email Identity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitaldefense.tech ↗	66 match 1 shared topics	DigitalDefense \| Protect Your Business from Cyber Threats	en	information-and-network-security	robotsllmsaihumans	emailphone	none
didit.me ↗	65 match 1 shared topics	Didit, One API for identity and fraud	en	information-and-network-security	robots llms aihumans	emailphone	none
oxfordcomputergroup.com ↗	65 match 1 shared topics	Oxford Computer Group - Identity and security solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ozoname.com ↗	65 match 1 shared topics	OZO Name \| A Universal Identity Layer for Web3	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threatmark.com ↗	65 match 1 shared topics	Win the war against fraud, with ThreatMark	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
add-id.dev ↗	65 match 1 shared topics	dewa - Secure Digital Identity Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalidentitycoalition.net ↗	65 match 1 shared topics	Coalition for Digital Identity	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
digitalidentity.consulting ↗	65 match 1 shared topics	Digital Identity Consulting – Experts in Secure Identification	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
digitalidentitycoalition.org ↗	65 match 1 shared topics	Coalition for Digital Identity	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
digitalidentitycoalition.info ↗	65 match 1 shared topics	Coalition for Digital Identity	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
aiatthecenter.com ↗	65 match 1 shared topics	The Identity at the Center Podcast	en	information-and-network-security Wix	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.