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Manatee Software — Vulnerability & Penetration Testing — 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
quantlabusa.dev ↗	75 match 2 shared topics	Custom Software Development & Penetration Testing \| QUANT LAB USA	United States~ en	software-and-applications	robots llmsaihumans	email phone	full · 13
cvefeed.io ↗	69 match 2 shared topics	CVEFeed.io — Vulnerability Intelligence Platform for Security Teams	en	information-and-network-security	robots llmsaihumans	emailphone	none
cyriontech.llc ↗	69 match 2 shared topics	Cyrion Tech LLC — Premium IT & Software Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
uid-studio.com ↗	68 match 2 shared topics	UID Studio — Centralized vulnerability management	Chile~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
jelaco.net ↗	68 match 2 shared topics	Security software and technology consulting - Jela	en	software-and-applications	robotsllmsaihumans	emailphone	none
bmarks.app ↗	68 match 2 shared topics	Excubiae \| Application Security Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bonham.io ↗	68 match 2 shared topics	Bonham Technologies \| Secure Software Engineering & Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bonham.tech ↗	68 match 2 shared topics	Bonham Technologies \| Secure Software Engineering & Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bonhamtechnologies.info ↗	68 match 2 shared topics	Bonham Technologies \| Secure Software Engineering & Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bonhamtechnologies.llc ↗	68 match 2 shared topics	Bonham Technologies \| Secure Software Engineering & Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
robertaugustinus.com ↗	68 match 2 shared topics	Excubiae \| Application Security Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tryvalidize.com ↗	67 match 2 shared topics	Validize \| Next-Gen Identity Verification Software Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
activatenow.com ↗	67 match 2 shared topics	Software Activation Service - ActivateNow.com	en	software-and-applications	robotsllmsaihumans	emailphone	none
qualimatrix.tech ↗	67 match 2 shared topics	Qualimatrix: Software Testing Company in USA \| UK \| India \| Best QA Services	en	information-and-network-security	robotsllmsaihumans	email phone	none
csi4grc.com ↗	67 match 2 shared topics	Audit and Security Software Tools for SAP Environments	en	software-and-applications Joomla	robotsllmsaihumans	emailphone	none
cybercarbide.info ↗	67 match 2 shared topics	Compliance Automation and Risk Management Software \| Carbide	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
cybersecuritycompliance.info ↗	67 match 2 shared topics	Compliance Automation and Risk Management Software \| Carbide	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
turboqsa.com ↗	67 match 2 shared topics	TurboQSA PCI Compliance Software	en	software-and-applications	robotsllmsaihumans	email phone	partial · 8

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.