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Getphinsecurityly alternatives & similar sites

Phin Security | MSP Focused Phishing Training & Simulation — 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
0penai-gpt.com ↗	75 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2fanotifications.com ↗	75 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
schoollearningcenter.com ↗	75 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
outlook-mailer.com ↗	73 match 1 shared topics	Sophos – Security awareness training	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
1f.io ↗	72 match 1 shared topics	Phishing Simulation & Awareness Training - Fished	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mmebv.be ↗	71 match 1 shared topics	MME \| Security Audits & Training	Belgium en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
mmesec.be ↗	71 match 1 shared topics	MME \| Security Audits & Training	Belgium en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
scalereefsecure.com ↗	70 match 1 shared topics	ReefSecure Angler - Professional Phishing Awareness Training	Belgium~ en	information-and-network-security	robotsllmsaihumans	email phone	none
cs-academy.org ↗	70 match 1 shared topics	CS-Academy — Cybersecurity, Ethical Hacking & GNU/Linux Training	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scadasecuritybootcamp.com ↗	70 match 1 shared topics	SCADA-ICS-IIoT Security training with Information Warfare Center ATC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tiagoteles.com ↗	70 match 1 shared topics	Tiago Teles — Cybersecurity Consulting & Training	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
afrishield.org ↗	69 match 1 shared topics	Cybersecurity Awareness Training Africa Hub \| AfriShield	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csrmc.org ↗	69 match 1 shared topics	BAI Information Security: Risk Management Framework Training	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
advancedpersistenttraining.com ↗	68 match 1 shared topics	Advanced Persistent Training: Next Level of Security Awareness	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cm-alliance.com ↗	68 match 1 shared topics	Cyber Security Training and Cybersecurity Consulting UK	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
crysm.net ↗	68 match 1 shared topics	Cryptographic Hashing & Security Tools \| CrysM.net	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
silentgrid.io ↗	68 match 1 shared topics	Adversary Simulation & Penetration Testing \| SilentGrid Security	Australia~ en	information-and-network-security	robots llmsaihumans	emailphone	none
silentgrid.net ↗	68 match 1 shared topics	Adversary Simulation & Penetration Testing \| SilentGrid Security	Australia~ en	information-and-network-security	robots llmsaihumans	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.