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Evidentguard alternatives & similar sites

EvidentGuard — Secure AI Agent for Audit Evidence Collection — 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
nectotech.com ↗	71 match 2 shared topics	Necto — Secure Infrastructure for AI Agents	Sweden~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
assuranceops.com ↗	71 match 2 shared topics	AssuranceOps — Security, Compliance & AI Assurance Evidence	en	information-and-network-security	robots llmsaihumans	emailphone	none
attestmcp.com ↗	70 match 2 shared topics	AttestMCP — Compliance Evidence for AI Agent Memory	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
provenlog.com ↗	70 match 2 shared topics	ProvenLog — Tamper-evident audit trails for AI agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
prowco.ai ↗	70 match 2 shared topics	PROW® — Secure AI for Sensitive Work	en	information-and-network-security	robotsllmsaihumans	emailphone	none
astrix.security ↗	70 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
neogriffin.dev ↗	70 match 2 shared topics	NeoGriffin — Security Proxy for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
auth0sandbox.org ↗	69 match 2 shared topics	Secure AI Agent & User Authentication \| Auth0	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
auth0sandbox.net ↗	69 match 2 shared topics	Secure AI Agent & User Authentication \| Auth0	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
auth0corp.net ↗	69 match 2 shared topics	Secure AI Agent & User Authentication \| Auth0	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
auth0-users.net ↗	69 match 2 shared topics	Secure AI Agent & User Authentication \| Auth0	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
authzero.net ↗	69 match 2 shared topics	Secure AI Agent & User Authentication \| Auth0	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
intentreceipt.com ↗	69 match 2 shared topics	IntentReceipt — Evidence of intent for AI systems and agentic workflows	en	information-and-network-security	robotsllmsaihumans	emailphone	none
auth51.com ↗	69 match 2 shared topics	Auth51 — Identity, authorization, and audit for AI agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
astha.ai ↗	69 match 2 shared topics	Astha — Runtime Security & Compliance for AI Agent Infrastructure	en	information-and-network-security	robots llmsaihumans	emailphone	full · 15
intentgate.app ↗	68 match 2 shared topics	IntentGate — Authorization for AI agents	Netherlands~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
intercis.io ↗	68 match 2 shared topics	Intercis — AI Agent Governance for Security Teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0eroshot.com ↗	68 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	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.