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MSP Dark Web — Dark Web Monitoring & Breach Intelligence for MSPs — 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
constella.ai ↗	75 match 1 shared topics	Identity Risk Intelligence & Dark Web Monitoring \| Constella	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
heyliongard.com ↗	72 match 1 shared topics	Asset Intelligence for MSPs and IT Teams	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
alertmonitor.ai ↗	70 match 1 shared topics	AlertMonitor \| Enterprise Monitoring + Security Intelligence	en	information-and-network-security	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
cognyte.com ↗	68 match 1 shared topics	Cognyte \| Actionable Intelligence for a Safer World™	en	information-and-network-security WordPress	robots llms aihumans	emailphone	none
breached.company ↗	68 match 1 shared topics	Breach Intelligence, Incident Response & Consumer Protection \| Breached.Company	en	information-and-network-security	robots llms aihumans	emailphone	partial · 9
connectbiomarketing.com ↗	68 match 1 shared topics	Chainbase — Web3 Wallet Security Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
devta.tech ↗	68 match 1 shared topics	DEVTA — Public Safety Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ethosguard.io ↗	68 match 1 shared topics	EthosGuard — On-chain reputation intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
crystalintelligence.app ↗	67 match 1 shared topics	Crystal Intelligence - Blockchain Intelligence for Crime Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
shreshtait.com ↗	67 match 1 shared topics	DNS Security & Threat Intelligence \| Shreshta	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
alertmedia.com ↗	67 match 1 shared topics	AlertMedia - Unified Risk Intelligence & Response	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
digdns.org ↗	67 match 1 shared topics	DomainShield — DNS Intelligence & Conflict Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aletheia-insights-afi.com ↗	67 match 1 shared topics	Aletheia Forensic Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
voidum.io ↗	67 match 1 shared topics	Void - Enterprise Security Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
otterwatch.dev ↗	67 match 1 shared topics	Otterwatch — SSL certificate monitoring, kept boring on purpose	en	information-and-network-security	robots llmsaihumans	emailphone	none
ipregistry.co ↗	67 match 1 shared topics	Leading IP Address Data - Geolocation & Threat Intelligence - Ipregistry	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
3nyo.com ↗	67 match 1 shared topics	3nyo \| Counterintelligence Operations	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.