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BrowserTotal - Browser Security Analysis Platform — 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
domaintools.com ↗	67 match shared topic	Threat Intelligence & Domain Security Platform \| DomainTools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
coram.ai ↗	67 match shared topic	Coram: Unified Physical Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
huntress.com ↗	67 match shared topic	Huntress Managed Security Platform: Wrecking Hackers 24/7 \| Huntress	en	information-and-network-security	robots llmsaihumans	emailphone	none
securityscorecard.com ↗	67 match shared topic	SecurityScorecard \| Supply Chain & Third-Party Risk Platform	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
nordlayer.com ↗	67 match shared topic	Network security platform for business \| NordLayer	en	information-and-network-security HubSpot CMS	robotsllmsaihumans	emailphone	none
inky.com ↗	67 match shared topic	INKY Technology \| Email Security Platform \| Eliminate Phishing Threats	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
heimdalsecurity.com ↗	67 match shared topic	Heimdal® - One Unified Cybersecurity Platform. Total Security.	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
virtru.com ↗	67 match shared topic	Data Security Platform for Email, Files and Collaboration \| Virtru	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
beaglesecurity.com ↗	67 match shared topic	Beagle Security: AI-powered AppSec platform \| Web application & API penetration testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
icite.io ↗	67 match shared topic	Identity Intelligence Platform for Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybeready.com ↗	67 match shared topic	Cyber Security Awareness Training Platform \| CybeReady	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cside.com ↗	67 match shared topic	cside, Client-Side Security & Browser Fraud Prevention	en	information-and-network-security	robots llmsaihumans	emailphone	none
proof.com ↗	67 match shared topic	Proof \| Identity-centric security platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
securityscorecard.io ↗	67 match shared topic	SecurityScorecard \| Supply Chain & Third-Party Risk Platform	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
todyl.com ↗	67 match shared topic	Best-in-Class Cybersecurity Platform & Services \| Todyl	en	information-and-network-security HubSpot CMS	robotsllmsaihumans	emailphone	none
telivy.com ↗	67 match shared topic	Cytracom — Security, Networking & Communications Platform for MSPs	en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
menlosecurity.com ↗	67 match shared topic	Browser Security for Humans and Agents \| Menlo Security	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
apivoid.com ↗	67 match shared topic	Cybersecurity APIs for Threat Detection, Analysis & Prevention \| APIVoid	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.