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anonymize.solutions — PII Detection & Anonymization Tool — 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
anonym.legal ↗	76 match 1 shared topics	Enterprise PII Detection & Anonymization \| anonym.legal	en	information-and-network-security	robots llms ai humans	emailphone	none
anonymize.today ↗	76 match 1 shared topics	Enterprise PII Detection & Anonymization \| anonym.legal	en	information-and-network-security	robots llms ai humans	emailphone	none
anonymize.business ↗	76 match 1 shared topics	Enterprise PII Detection & Anonymization \| anonym.legal	en	information-and-network-security	robots llms ai humans	emailphone	none
algosystemibmsolutions.com ↗	70 match 1 shared topics	Threat Detection \| IBM Solutions	Greece~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cloakllm.dev ↗	68 match 1 shared topics	CloakLLM — PII Protection for LLMs	en	information-and-network-security	robots llmsaihumans	emailphone	none
theloyalsolution.com ↗	67 match 1 shared topics	Loyal Protection and Solution	en	information-and-network-security	robotsllmsaihumans	emailphone	none
theosyntra.com ↗	67 match 1 shared topics	Theosyntra Solutions \| Secure Automation. Relentless Uptime.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
appgate.com ↗	67 match 1 shared topics	Zero Trust Network Access & Fraud Protection Solutions \| AppGate	en	information-and-network-security	robotsllmsaihumans	emailphone	none
clone-ddos.org ↗	67 match 1 shared topics	clone-DDOS — global intrusion detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
anonymize.website ↗	67 match 1 shared topics	anonymize.website - Privacy API for Developers	en	information-and-network-security	robots llms aihumans	emailphone	full · 13
9ection.com ↗	67 match 1 shared topics	SECTION 9 — End-to-end automation	Slovenia~ en	information-and-network-security	robots llmsaihumans	emailphone	none
theprotectionguru.com ↗	67 match 1 shared topics	Compare Digital Protection Solutions in One Easy View \| The Protection Guru	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
acronis.com ↗	67 match 1 shared topics	Cybersecurity & Data Protection Solutions - Acronis	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aliriai.com ↗	67 match 1 shared topics	PresiNET Systems - Internet Management Solutions - Browser Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lcgsec.com ↗	67 match 1 shared topics	LCG SEC \| Cybersecurity Services & Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
theoinfosec.com ↗	67 match 1 shared topics	TheoInfoSec - Enterprise Cybersecurity Solutions & Threat Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
advancedvault.co.uk ↗	66 match 1 shared topics	Advanced Vault UK - Expert Security Solutions & Digital Protection	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
alkaloidsecurity.com ↗	66 match 1 shared topics	Alkaloid Security — Privacy-First Endpoint Detection for macOS	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.