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Fraudaware alternatives & similar sites

Fraud Aware | Fighting Fraud, Protecting Communities — 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
maxmind.com ↗	61 match shared topic	Industry leading IP Geolocation and Online Fraud Prevention \| MaxMind	en	information-and-network-security	robotsllmsaihumans	emailphone	none
phished.io ↗	61 match shared topic	Phished \| Holistic Training - Security Awareness with Impact	en	information-and-network-security	robotsllmsaihumans	emailphone	none
knowbe4.com ↗	61 match shared topic	KnowBe4 \| Secure Your Digital Workforce: Human + AI	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
transmitsecurity.com ↗	61 match shared topic	Transmit Security - Customer Identity and Access Management (CIAM) and fraud prevention Leader.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
prebytes.com ↗	61 match shared topic	PREBYTES \| Proprietary Cybersecurity & Anti-Fraud Technology	Poland~ en	information-and-network-security	robotsllmsaihumans	email phone	none
sosafe-awareness.com ↗	61 match shared topic	Security awareness and human risk management	Germany~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
abuse.ch ↗	61 match shared topic	abuse.ch \| Fighting malware and botnets	Switzerland en	information-and-network-security	robotsllmsaihumans	emailphone	none
ipqualityscore.com ↗	61 match shared topic	IP Intelligence, Bot Detection, Fraud Detection \| IPQS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bugbountycaribbean.com ↗	61 match shared topic	Bug Bounty Caribbean - Protecting businesses, rewarding researchers. \| Bug Bounty Caribbean	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybeready.com ↗	61 match shared topic	Cyber Security Awareness Training Platform \| CybeReady	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cauce.org ↗	61 match shared topic	CAUCE \| Fighting messaging abuse since 1997	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
claudiupopa.ca ↗	61 match shared topic	Claudiu Popa \| Cyber Risk, AI, Fraud & Digital Trust Keynote Speaker	Canada en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cside.com ↗	61 match shared topic	cside, Client-Side Security & Browser Fraud Prevention	en	information-and-network-security	robots llmsaihumans	emailphone	none
securityforawareness.com ↗	61 match shared topic	Cyber Security for Awareness \| by G5 Cyber Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
immunityinc.com ↗	61 match shared topic	Zero Trust Network Access & Fraud Protection Solutions \| AppGate	en	information-and-network-security	robotsllmsaihumans	emailphone	none
appgate.com ↗	61 match shared topic	Zero Trust Network Access & Fraud Protection Solutions \| AppGate	en	information-and-network-security	robotsllmsaihumans	emailphone	none
miteksystems.com ↗	61 match shared topic	The Trusted Leader in Digital Fraud Defense \| Mitek	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
sift.com ↗	61 match shared topic	Digital Fraud Prevention & Risk-Based Authentication \| Sift	en	information-and-network-security WordPress WooCommerce	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.