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Kerisuite alternatives & similar sites

KERI Architecture & Digital Trust Engineering — 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
link2trust.be ↗	70 match 1 shared topics	Link2Trust - Digital Trust & Security Solutions	Belgium en	information-and-network-security	robotsllmsaihumans	emailphone	none
nak.co ↗	69 match 1 shared topics	NAK Engineering \| Hardware Design & Secure Embedded Systems Architecture	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitaltrustsummit.org ↗	69 match 1 shared topics	Digital Trust Summit	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
gamithya.com ↗	69 match 1 shared topics	Cybersecurity Straretgy, Architecture & Consulting \| Gamithya	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
simgen.dev ↗	69 match 1 shared topics	Kyle Clouthier — Distributed Systems & Infrastructure Engineer	Canada~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberdefense.engineering ↗	68 match 1 shared topics	CYDEEN \| Cyberdefense Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
sayho-solutions.com ↗	68 match 1 shared topics	SAYHO — ICT, AV & Security Engineering Consultancy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
add-id.dev ↗	68 match 1 shared topics	dewa - Secure Digital Identity Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oxyrax.com ↗	67 match 1 shared topics	OXYRA Foundation \| Privacy-First Digital Infrastructure	en	information-and-network-security	robots llmsaihumans	emailphone	none
0xsha.io ↗	67 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gallohouse.com ↗	67 match 1 shared topics	Ken Gallo \| Principal Security Architect & Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gangcool.com ↗	67 match 1 shared topics	GangCool - Cryptographic Security Engineering for Enterprise Systems	en	information-and-network-security	robotsllmsaihumans	emailphone	none
siros.org ↗	67 match 1 shared topics	SIROS Foundation — Infrastructure for Trusted Digital Identity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vereign.ch ↗	67 match 1 shared topics	Verified Digital Authenticity Infrastructure \| Vereign	Switzerland en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
thezanesoftware.net ↗	67 match 1 shared topics	Linera Tech - Fractional CTO, Azure Architecture & Cybersecurity Leadership	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jalaly.com ↗	67 match 1 shared topics	Mansour Jalaly — Security Engineering	United Kingdom~ en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
threlon.com ↗	67 match 1 shared topics	Threlon. Detection engineering for the middle.	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
adlem.net ↗	67 match 1 shared topics	Simon Adlem – Architecture, Security & Governance	en	information-and-network-security	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.