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Phishack - Reduce Human-based Cyber Risks with Phishack — 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
ubcme.com ↗	73 match 2 shared topics	MAST HRM — Reduce Human Cyber Risk Before It Becomes a Breach	en	information-and-network-security	robotsllmsaihumans	emailphone	none
phrontiq.com ↗	68 match 2 shared topics	PHRONTIQ — Human Risk Intelligence Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
phishbite.com ↗	68 match 2 shared topics	Phishbite - creating employee security awareness by phishing tests	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
phalanxia.com ↗	67 match 2 shared topics	Phalanxia — AI Cyber Risk Intelligence	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
cybsafe.co.uk ↗	67 match 2 shared topics	CybSafe – AI-powered human risk management – Improve security behaviors with data to prove it.	United Kingdom en	information-and-network-security Shopify	robotsllmsaihumans	emailphone	none
phishnext.com ↗	66 match 2 shared topics	Phishing Simulation & Security Awareness Training in India \| PhishNext	India~ en	information-and-network-security	robotsllmsaihumans	email phone	none
omvia.net ↗	66 match 2 shared topics	OMVIA - AI-Powered Cybersecurity Training Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
exabeam.co.uk ↗	66 match 2 shared topics	Exabeam \| Cybersecurity & Compliance with Security Log Management and SIEM	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
kedesolutions.com ↗	66 match 2 shared topics	KedeSolutions \| Business Efficiency with AI & Cybersecurity	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hyperionflux.org ↗	66 match 2 shared topics	Hyperion-Flux · Cyber Operations Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onlinecrowdstrikeevents.com ↗	65 match 2 shared topics	CrowdStrike: We Stop Breaches with AI-native Cybersecurity	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
onlinecrowdstrikeevent.com ↗	65 match 2 shared topics	CrowdStrike: We Stop Breaches with AI-native Cybersecurity	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none
redhunt.io ↗	65 match 2 shared topics	RedHunt — Offensive cyber security, human-led. Built for the AI era.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
shashr.com ↗	65 match 2 shared topics	Shashr - GuardiaGraph \| AI-Powered Cyber Defense Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
360sec.com ↗	65 match 2 shared topics	AI-Powered Cybersecurity Services — MDR, Red Teaming & AI Security Testing \| 360 Security Group	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
phishoutofwater.com ↗	65 match 2 shared topics	PhishOutOfWater — AI Phishing Detection for Email & URLs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hackthebox.eu ↗	65 match 2 shared topics	Cyber Mastery: Community Inspired. Enterprise Trusted. \| Hack The Box	European Union en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
iciso.net ↗	64 match 2 shared topics	ICISO \| AI-Powered Compliance & Cybersecurity Platform	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.