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Privacy Software for the Post-Quantum Era · Moss Piglet — 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
ourcaptaincompliancehq.info ↗	68 match 2 shared topics	Captain Compliance - Data Privacy Software & Compliance Management Tools	en	software-and-applications WordPress	robotsllmsaihumans	email phone	none
pagecaptaincompliancehq.info ↗	68 match 2 shared topics	Captain Compliance - Data Privacy Software & Compliance Management Tools	en	software-and-applications WordPress	robotsllmsaihumans	email phone	none
cryptosys.net ↗	67 match 2 shared topics	CryptoSys cryptography software tools for developers	en	information-and-network-security	robots llmsaihumans	emailphone	none
policedart.com ↗	67 match 2 shared topics	Tracer Fire / Police DART — Software for Law Enforcement	United States~ en	software-and-applications	robotsllmsaihumans	emailphone	none
pointegrity.com ↗	67 match 2 shared topics	Pointegrity — independent software for personal data	en	software-and-applications	robotsllmsaihumans	emailphone	none
baxtercyberconsulting.com ↗	67 match 2 shared topics	Baxter Cyber Consulting - Custom Software & Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
owaspfiasse.org ↗	66 match 2 shared topics	OWASP FIASSE: Framework for Integrating Application Security into Software Engineering	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 11
csi4grc.com ↗	66 match 2 shared topics	Audit and Security Software Tools for SAP Environments	en	software-and-applications Joomla	robotsllmsaihumans	emailphone	none
2-controlware.com ↗	66 match 2 shared topics	2-Controlware \| Compliance software for Business Central	Netherlands~ en	software-and-applications	robotsllmsaihumans	emailphone	none
pantsfactory.com ↗	66 match 2 shared topics	The Open Software Assurance Maturity Model	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
pantsfactory.net ↗	66 match 2 shared topics	The Open Software Assurance Maturity Model	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
pantsfactory.org ↗	66 match 2 shared topics	The Open Software Assurance Maturity Model	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mooreventuresgroup.com ↗	66 match 2 shared topics	Moore Ventures Group (MVG) \| Software Engineering & Security	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
koutilyareddy.com ↗	66 match 2 shared topics	Koutilya Reddy Kommula - Software Engineering Manager	en	information-and-network-security	robotsllmsaihumans	emailphone	none
polygonti.com ↗	66 match 2 shared topics	PTI: UAE's Cybersecurity and Software Services	United Arab Emirates~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
compligrid.com ↗	65 match 2 shared topics	GDPR Compliance Software & Website Compliance Scanner \| Compligrid	en	software-and-applications	robotsllmsaihumans	emailphone	none
alboum.net ↗	65 match 2 shared topics	Alboum \| Software Development & Cybersecurity Services	KW~ en	information-and-network-security	robots llmsaihumans	email phone	none
belarc.com ↗	65 match 2 shared topics	IT Asset Management For The Internet Age - Belarc, Inc.	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.