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Project Mariana - Find Your Dark Web Database Breach Information — 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
compsuite.com ↗	69 match 1 shared topics	CompSuite: Take Charge of Your Information Security Risks	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
compromisedai.com ↗	69 match 1 shared topics	Compromised AI - Dark Web Scan for Data Breaches	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
layer9.co ↗	68 match 1 shared topics	Layer 9 Information Security	Colombia en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
alexwalcott.dev ↗	67 match 1 shared topics	Alex Walcott \| Information Security Portfolio	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
shteinsolutions.com ↗	67 match 1 shared topics	Shtein Solutions \| Information security services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cstl.com ↗	67 match 1 shared topics	CST \| Cyber Security & Information Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
compuxpert.com ↗	67 match 1 shared topics	CompuXpert\| Information Technology	en	information-and-network-security	robotsllmsaihumans	emailphone	none
davehaertel.co ↗	66 match 1 shared topics	Dave Haertel · Senior Information Security Analyst	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cansecwest.com ↗	66 match 1 shared topics	secwest.net - information nexus connector	Canada~ en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
eternac.com ↗	66 match 1 shared topics	Consulting on information security	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
siakantaris.com ↗	66 match 1 shared topics	George Siakantaris \| Technology & Information Security Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csrmc.org ↗	66 match 1 shared topics	BAI Information Security: Risk Management Framework Training	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
gigz.co ↗	66 match 1 shared topics	gigz.co – Information Privacy is your right!	Colombia en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
concertocyber.com ↗	66 match 1 shared topics	Concerto - Your Cyber Automation Conductor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
breached.company ↗	66 match 1 shared topics	Breach Intelligence, Incident Response & Consumer Protection \| Breached.Company	en	information-and-network-security	robots llms aihumans	emailphone	partial · 9
dfirransomware.org ↗	66 match 1 shared topics	DFIR Ransomware Project \| The community driven resource to share ransomware information and characteristics within the DFIR community.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mooreinfosec.com ↗	65 match 1 shared topics	Moore Information Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
advent-im.co.uk ↗	65 match 1 shared topics	Information Governance, Risk and Compliance UK \| Advent IM	United Kingdom en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	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.