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StopAiFraud.com - AI Fraud Prevention & Deepfake Detection Hub — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
360fraud.ai ↗	73 match 2 shared topics	End-to-End AI Fraud Prevention \| 360 Fraud Protection	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
360fraud.com ↗	73 match 2 shared topics	End-to-End AI Fraud Prevention \| 360 Fraud Protection	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
detect-fakes.com ↗	71 match 2 shared topics	Liveness Detection (PAD) & Deepfake Defense \| BioID	DE~ en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aidai.tech ↗	70 match 2 shared topics	AI Deepfake Detector - Protect Against AI Scams	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
yubiai.com ↗	69 match 2 shared topics	Yubi AI - AI-Powered Phishing Detection & Brand Protection Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
badgeprotect.com ↗	69 match 2 shared topics	VirtualBadge Fraud Shield - AI-Powered Brand Protection	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
iarcher.ai ↗	67 match 2 shared topics	Archer - AI-Powered Threat Detection \| On Target. Every Threat, Every Time.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
miniaisoc.com ↗	66 match 2 shared topics	Mini AI SOC — AIDR: AI Detection & Response for SMBs	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
trinitysecurity.ai ↗	66 match 2 shared topics	Trinity AI Security \| GPU-Accelerated Threat Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
a2ashield.cloud ↗	66 match 2 shared topics	A2A Shield — AI Anomaly & Threat Detection API	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
actionfraudone.com ↗	66 match 2 shared topics	ActionFraudOne - Fraud Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
detectionhub.ai ↗	66 match 2 shared topics	DetectionHub.ai - Transform Threat Intelligence into Detection Rules	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentshield.cloud ↗	66 match 2 shared topics	AgentShield — Open-Source Prompt Injection Detection for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aegisprompt.ai ↗	66 match 2 shared topics	AegisPrompt — AI Data Loss Prevention \| Protect Sensitive Data from AI Chatbots	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
kycwidget.com ↗	66 match 2 shared topics	Protect your website from fraud and abuse - KYC Widget	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trinetrasystems.com ↗	66 match 2 shared topics	AI Surveillance & Camera Detection Solutions \| Smart CCTV Analytics \| Trinetra Systems	IN~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
backerguardian.com ↗	65 match 2 shared topics	BackerGuardian \| Crowdfunding Trust Analysis & Scam Detection	en	artificial-intelligence	robots llmsaihumans	emailphone	none
cywreck.com ↗	65 match 2 shared topics	Cywreck - AI-Powered Cybersecurity Solutions	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.