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VishGuard - Voice Phishing Protection for Enterprises — 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
dpenterprise.co.uk ↗	74 match 1 shared topics	Data Protection Enterprise	United Kingdom en	information-and-network-security	robotsllmsaihumans	email phone	none
facidprotection.com ↗	72 match 1 shared topics	Facid Protection - Enterprise Online Brand Protection	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
0penai-gpt.com ↗	71 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2fanotifications.com ↗	71 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
repiicated.com ↗	71 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
report2it.com ↗	71 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
replcated.com ↗	71 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
repilcated.com ↗	71 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
stagingtestone.com ↗	71 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
starbucks-app.com ↗	71 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alluresecurity.com ↗	70 match 1 shared topics	Brand Protection & Phishing Takedown Services - Allure Security	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
eldershield360.com ↗	70 match 1 shared topics	ElderShield Pro — AI Scam Protection for Seniors	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eldershield.app ↗	70 match 1 shared topics	ElderShield - AI-Powered Protection from Online Scams for Seniors \| Elder Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
spoofguard.io ↗	70 match 1 shared topics	Domain Monitoring & Phishing Detection \| SpoofGuard Brand Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dataprotectionservices.co.uk ↗	70 match 1 shared topics	Managing data protection	United Kingdom en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dataprotectionplatform.com ↗	70 match 1 shared topics	Top 12 Data Protection Platforms 2026 — Independent Enterprise Comparison & Pricing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
123filtering.com ↗	69 match 1 shared topics	123Filtering - Enterprise DNS Filtering for MSPs & Channel Partners	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	partial · 8
heroware.com ↗	69 match 1 shared topics	HEROware — Enterprise Data Protection	United States~ en	information-and-network-security WordPress	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.