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Irisidentityprotection alternatives & similar sites

Iris Powered by Generali — 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 Insurance →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
cowbell.insure ↗	55 match shared topic	Cowbell - The Sound Approach to Risk. \| Adaptive Cyber Insurance	en	insurance WordPress WooCommerce	robots llmsaihumans	emailphone	none
coalitioninc.com ↗	55 match shared topic	Cyber Insurance \| Active Insurance & Cybersecurity \| Coalition	en	insurance	robotsllmsaihumans	emailphone	none
acronis.com ↗	38 match shared topic	AI-Powered Cybersecurity, Data Protection & IT Automation \| Acronis	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
netcraft.com ↗	38 match shared topic	Next-Gen Digital Risk Protection \| AI-powered Cybercrime Defense by Netcraft	en	information-and-network-security	robotsllmsaihumans	emailphone	none
generali.com ↗	38 match shared topic	Generali Group	en	insurance	robotsllmsaihumans	emailphone	none
vadesecure.com ↗	38 match shared topic	Vade \| Simple, Sophisticated Email Security Powered by AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bitninja.io ↗	38 match shared topic	BitNinja AI-Powered Server Security - Elevate Your Linux Server Security	en	information-and-network-security WordPress X-Cart	robotsllmsaihumans	emailphone	none
cohesity.com ↗	38 match shared topic	AI-powered data security and management \| Cohesity	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
beaglesecurity.com ↗	38 match shared topic	Beagle Security: AI-powered AppSec platform \| Web application & API penetration testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
crowdsec.net ↗	38 match shared topic	Curated Threat Intelligence Powered by the Crowd \| CrowdSec	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
upvpn.app ↗	38 match shared topic	Serverless VPN powered by WireGuard \| UpVPN	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spycloud.com ↗	38 match shared topic	Identity Threat Protection Powered by Recaptured Dark Web Data	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
generalitravelinsurance.com ↗	38 match shared topic	Travel Insurance - Quote, Compare, & Buy Online \| Generali Global Assistance	en	insurance Adobe Experience Manager	robotsllmsaihumans	emailphone	none
cofense.com ↗	38 match shared topic	Phishing Defense Powered by AI & Human Insight \| Cofense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
enea.com ↗	38 match shared topic	AI-Powered Software for Telecom Networks & Cybersecurity	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
delegancebrokerage.com ↗	38 match shared topic	Delegance Brokerage \| AI-Powered Commercial Insurance Platform	en	insurance	robots llmsaihumans	emailphone	none
cymulate.com ↗	38 match shared topic	Cymulate \| AI-Powered Exposure Validation	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
invisirisk.com ↗	38 match shared topic	Software Supply Chain Security Providers \| InvisiRisk	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.