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Sites similar to enforceauth.dev

Enforceauth alternatives & similar sites

EnforceAuth - Unified authorization fabric for the modern AI-era — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
globalenforceauth.com ↗	75 match 2 shared topics	EnforceAuth — Authorization for the AI agent era	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
agentauth.run ↗	70 match 2 shared topics	Alter Vault \| The Authorization Layer for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
tenetgraph.ai ↗	70 match 2 shared topics	TenetGraph · Authorization for AI agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mandate.lol ↗	67 match 2 shared topics	Mandate · agent authorization	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agentchain.xyz ↗	67 match 2 shared topics	AgentChain — Authorization Layer for Agents That Move Value	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
agent-ops.shop ↗	67 match 2 shared topics	Guardr AI - Unified AI Safety & Compliance Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
akto.io ↗	67 match 2 shared topics	Akto: #1 AI Agent Security Solution for Modern AI Security Teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mend.io ↗	66 match 2 shared topics	Mend.io \| Application Security and AI Security, Unified	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
deepcoded.com ↗	66 match 2 shared topics	Snyk AI Security Fabric \| Secure Code, Models & Agents \| Snyk	en	information-and-network-security	robotsllmsaihumans	emailphone	none
getsiwa.com ↗	66 match 2 shared topics	SIWA — Sign In With Agent \| Wallet-Based Authentication for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deepkeep.ai ↗	65 match 2 shared topics	DeepKeep AI Security Platform for Applications, Agents and Models	en	information-and-network-security	robots llmsaihumans	emailphone	none
mymagenai.com ↗	65 match 2 shared topics	MagenAI - The Platform for AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyphic.cloud ↗	65 match 2 shared topics	Cyphic AI — Unified API for fraud, hosting & trust	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aeronyx.network ↗	65 match 2 shared topics	AeroNyx \| The encrypted coordination layer for autonomous agents	en	artificial-intelligence	robots llmsaihumans	emailphone	none
aarm.dev ↗	65 match 2 shared topics	AARM — Autonomous Action Runtime Management	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
empe.io ↗	65 match 2 shared topics	Simplifying digital trust and compliance for the autonomous, tokenized economy.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
accesssecurden.info ↗	65 match 2 shared topics	Securden – The World’s First Unified Identity Security Platform \| Unifying PAM, EPM, IGA, CIEM & AI	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
startsecurden.com ↗	65 match 2 shared topics	Securden – The World’s First Unified Identity Security Platform \| Unifying PAM, EPM, IGA, CIEM & AI	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8

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.