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Datamine Lab — Automated Security Testing & Compliance Pentesting — 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
starttravasecurity.com ↗	73 match 1 shared topics	Trava Security \| Cybersecurity & Compliance Solutions	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
hilltopgrcc.com ↗	73 match 1 shared topics	Hilltop GRC — Security & Compliance for Tech and AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deepnotch.ai ↗	73 match 1 shared topics	Automated Compliance Monitoring & Audit Automation	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
factionsecurity.com ↗	72 match 1 shared topics	FACTION Security - Automated Penetration Testing Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
d3fnd.com ↗	72 match 1 shared topics	d3fnd — Cybersecurity & Compliance Services	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
cyberhunter.solutions ↗	72 match 1 shared topics	Penetration Test & Security Testing Company	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberstartus.org ↗	72 match 1 shared topics	SecureMyStack - Professional Cybersecurity Services \| Penetration Testing & Compliance	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
datanextstep.com ↗	72 match 1 shared topics	Cybersecurity Solutions, IT Automation & Compliance \| DNS	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
megaplanit.com ↗	72 match 1 shared topics	MegaplanIT \| Cybersecurity & Compliance Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kavirotech.com ↗	71 match 1 shared topics	Kaviro Tech - DevSecOps Compliance Automation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
4wardshield.com ↗	71 match 1 shared topics	Risk Associates \| Managed Security & Compliance Experts	Australia~ en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
4wardsecurity.com ↗	71 match 1 shared topics	Risk Associates \| Managed Security & Compliance Experts	Australia~ en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
darkrocksecurity.com ↗	71 match 1 shared topics	Expert-Led Compliance & Cybersecurity	en	information-and-network-security	robots llmsaihumans	emailphone	none
antoinepilarczyk.com ↗	71 match 1 shared topics	Antoine — Cybersecurity & Compliance, Shanghai	en	information-and-network-security	robotsllmsaihumans	email phone	none
cybersecure.global ↗	71 match 1 shared topics	China Data Compliance Consulting & Cybersecurity Advisory \| CyberSecure	en	information-and-network-security	robotsllmsaihumans	email phone	none
kawacha.com ↗	71 match 1 shared topics	Kawacha — Security & Compliance for Businesses in India	en	information-and-network-security	robots llmsaihumans	emailphone	none
opendatasecurity.co.uk ↗	71 match 1 shared topics	Open Data Security — Authorised Red Team & Penetration Testing	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
katanova.io ↗	71 match 1 shared topics	Katanova \| Cybersecurity & Compliance	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.