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Proofofprocess alternatives & similar sites

Proof of Process - A New Foundation for Networks of Trust — 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
mcastle.io ↗	69 match 1 shared topics	mCastle - Moving Castle for Zero Trust Network	en	information-and-network-security	robotsllmsaihumans	emailphone	none
appgate.com ↗	68 match 1 shared topics	Zero Trust Network Access & Fraud Protection Solutions \| AppGate	en	information-and-network-security	robotsllmsaihumans	emailphone	none
constellationnetwork.io ↗	67 match 1 shared topics	Constellation Network	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 10
ethosradar.com ↗	67 match 1 shared topics	EthosRadar - Trust Network Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
owasp.org ↗	67 match 1 shared topics	OWASP Foundation, the Open Source Foundation for Application Security \| OWASP Foundation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalaccess.foundation ↗	67 match 1 shared topics	Digital Access Foundation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
outrun.cloud ↗	66 match 1 shared topics	Outrun - Secure Networks Made Simple	en	information-and-network-security	robots llmsaihumans	emailphone	none
packetfence.org ↗	66 match 1 shared topics	PacketFence - Network Access Control by Akamai	en	information-and-network-security	robotsllmsaihumans	emailphone	none
packetfence.net ↗	66 match 1 shared topics	PacketFence - Network Access Control by Akamai	en	information-and-network-security	robotsllmsaihumans	emailphone	none
brevis.network ↗	66 match 1 shared topics	Brevis Network	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cscif.org ↗	66 match 1 shared topics	CSCIF - Cyber Security Consultation & Information Foundation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alethegraphy.com ↗	66 match 1 shared topics	ALETHEGRAPHY Foundational Whitepaper	en	information-and-network-security	robotsllmsaihumans	emailphone	none
arpanetwork.io ↗	66 match 1 shared topics	Secure Computation Network for Blockchain-adapted Cryptography \| ARPA	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dflb.org ↗	66 match 1 shared topics	Data Foundation Lab (DFLab)	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0aloaltonetworks.com ↗	66 match 1 shared topics	Leader in Cybersecurity Protection & Software for the Modern Enterprises - Palo Alto Networks	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
etherealsolid.com ↗	66 match 1 shared topics	Ethereal Solid \| Secure servers and networks.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cscan.org ↗	66 match 1 shared topics	Centre for Security, Communications and Network Research, University of Plymouth	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dexteredward.com ↗	66 match 1 shared topics	Scalable, Zero Trust Collaborative Network Solutions - Dexter Edward LLC.	en	information-and-network-security WordPress WooCommerce	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.