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CIGMA LABS - Secure Evidence-based Collaboration and Translation of Research — 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
cissrec.org ↗	70 match 1 shared topics	Communication and Information System Security Research Center	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tree-talk.com ↗	69 match 1 shared topics	TreeTalk: Secure Collaboration and Privacy-First Digital Tools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dotechosecure.com ↗	68 match 1 shared topics	Echo Secure - Penetration Testing and Phishing Simulations	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
0xweiss.com ↗	67 match 1 shared topics	0xWeiss - Security Researcher & Auditor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
storph.com ↗	67 match 1 shared topics	Storph - Secure File Transfer Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
labscon.io ↗	67 match 1 shared topics	LABScon - Security Research in Real Time \| LABScon	en	information-and-network-security	robotsllmsaihumans	emailphone	none
minyoongisuga.com ↗	67 match 1 shared topics	Suga — Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
advnce.app ↗	67 match 1 shared topics	ADVNCE - Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
transpere.com ↗	67 match 1 shared topics	IT Asset Disposition and Managed Services \| Transpere	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
mineauditpro.com ↗	67 match 1 shared topics	Mining Equipment Digital Audit - Secure Compliance Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
chaoranchen.com ↗	66 match 1 shared topics	Chaoran Chen \| HCI, Security, and privacy researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2avideo.org ↗	66 match 1 shared topics	first amendment video LLC \| Secure Evidence Preservation	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
easykyc.net ↗	66 match 1 shared topics	Easy KYC - Secure KYC Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
frsecure.com ↗	66 match 1 shared topics	Information Security and Compliance Experts \| FRSecure	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mirroredefense.com ↗	66 match 1 shared topics	Information Security and Compliance Experts \| FRSecure	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
stormcyber.org ↗	66 match 1 shared topics	STORM Cyber Center – Security \| Technology \| Operations \| Research \| Monitoring	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
identillecttechnologies.com ↗	66 match 1 shared topics	Identillect Technologies - Secure Email Encryption Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
identillect.com ↗	66 match 1 shared topics	Identillect Technologies - Secure Email Encryption Solutions	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.