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CATCH-EM - AI-Powered Scam Detection & Fraud Prevention — 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
voipshieldai.com ↗	71 match 2 shared topics	VoIP Shield - Fraud & Spam Detection for VoIP	en	information-and-network-security	robotsllmsaihumans	emailphone	none
overwatchsecurity.tech ↗	71 match 2 shared topics	Overwatch Security \| AI-Powered Managed Detection & Response	en	information-and-network-security	robotsllmsaihumans	emailphone	none
360fraud.ai ↗	71 match 2 shared topics	End-to-End AI Fraud Prevention \| 360 Fraud Protection	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
360fraud.com ↗	71 match 2 shared topics	End-to-End AI Fraud Prevention \| 360 Fraud Protection	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
outseer.net ↗	70 match 2 shared topics	All-Cause Fraud Prevention Platform \| Scam, Payment & Account Takeover Protection \| Outseer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 7
outseer.org ↗	70 match 2 shared topics	All-Cause Fraud Prevention Platform \| Scam, Payment & Account Takeover Protection \| Outseer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 7
voiceprotector.com ↗	70 match 2 shared topics	VoiceProtector - AI Voice Scam Protection & Deepfake Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
voiceguard.ai ↗	69 match 2 shared topics	VoiceGuardAI - AI Voice Scam Detection & Protection \| Identify Deepfake Voicemails	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vivesecurity.com ↗	69 match 2 shared topics	ViveSecurity - AI-Powered Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kratosbot.io ↗	68 match 2 shared topics	Kratosbot.ai - AI-Powered Smart Contract Guardian	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
1-pro.net ↗	68 match 2 shared topics	1PRO Solutions - AI-Powered Cybersecurity & Innovation \| Enterprise Security Services	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
vladdex.com ↗	68 match 2 shared topics	Vladdex \| AI-Powered Penetration Testing	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 5
korrosiv.ai ↗	67 match 2 shared topics	Korrosiv.AI \| AI-Powered Penetration Testing Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
shukranapp.com ↗	67 match 2 shared topics	ShukranApp \| AI-Powered Smart Security & Camera Intelligence Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
compunite.com ↗	67 match 2 shared topics	AI-Powered IT & Cybersecurity Solutions \| Mindcore	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ethicsecure.com ↗	67 match 2 shared topics	EthicSecure — AI-Powered Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mdr-guardians.digital ↗	67 match 2 shared topics	Sophos MDR \| 24/7 Managed Detection & Response \| Agentic SOC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mdr-guardians.io ↗	67 match 2 shared topics	Sophos MDR \| 24/7 Managed Detection & Response \| Agentic SOC	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.