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Mimecast Incydr | See & Stop Data Loss From Insiders | Mimecast — 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
egress.com ↗	65 match shared topic	Egress, a KnowBe4 Company \| Anti-Phishing, Data Loss Prevention & Encryption	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
strac.io ↗	65 match shared topic	Strac \| Data Loss Prevention, Data Discovery & DSPM for SaaS, Cloud, GenAI	United States~ en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
trustarc.com ↗	60 match shared topic	Data Privacy Management Software & Solutions \| TrustArc	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
truste.com ↗	60 match shared topic	Data Privacy Management Software & Solutions \| TrustArc	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
acronis.com ↗	60 match shared topic	AI-Powered Cybersecurity, Data Protection & IT Automation \| Acronis	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
haveibeenpwned.com ↗	60 match shared topic	Have I Been Pwned: Check if your email address has been exposed in a data breach	en	information-and-network-security	robotsllmsaihumans	emailphone	none
usercentrics.com ↗	60 match shared topic	Usercentrics \| Leading in Data Privacy & Compliance	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mimecast.com ↗	60 match shared topic	Human Risk Management & Advanced Email Security \| Mimecast	en	information-and-network-security	robotsllmsaihumans	emailphone	none
barracuda.com ↗	60 match shared topic	Cybersecurity Solutions: Email, Apps, Network, Data \| Barracuda Networks	United States~ en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	email phone	none
ipinfo.io ↗	60 match shared topic	IP Data Intelligence for Developers & Enterprises \| IPinfo	en	information-and-network-security	robotsllmsaihumans	emailphone	none
arcasafes.com ↗	60 match shared topic	arca — personal data haven	en	information-and-network-security	robots llmsaihumans	emailphone	none
exploit-db.com ↗	60 match shared topic	Exploit Database - Exploits for Penetration Testers, Researchers, and Ethical Hackers	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cohesity.com ↗	60 match shared topic	AI-powered data security and management \| Cohesity	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
naidonline.org ↗	60 match shared topic	Secure Data Destruction \| Trade Association \| i-SIGMA	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
incogni.com ↗	60 match shared topic	Data Broker Removal Service \| Incogni	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vlayer.xyz ↗	60 match shared topic	vlayer: The verifiable data infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
barracudanetworks.com ↗	60 match shared topic	Cybersecurity Solutions: Email, Apps, Network, Data \| Barracuda Networks	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	email phone	partial · 1
netwrix.com ↗	60 match shared topic	Data Security that Starts with Identity™ \| Netwrix	United States~ en	information-and-network-security Sanity	robots llmsaihumans	emailphone	partial · 2

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.