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James Linton alternatives & similar sites

James Linton Social Engineer — 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
dray.be ↗	66 match 1 shared topics	Justin Dray \| Senior Security Engineer	Belgium en	information-and-network-security	robotsllmsaihumans	emailphone	none
onkark.com ↗	66 match 1 shared topics	Onkar Koli — Product Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mconnellysec.com ↗	66 match 1 shared topics	Matt Connelly - GRC Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsha.io ↗	66 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ferrabled.com ↗	66 match 1 shared topics	Fernando Rabasco · Security & Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	full · 19
touficmajdalani.com ↗	66 match 1 shared topics	Toufic Majdalani \| Security Software Engineer & Linux Developer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bakhtaoui.com ↗	65 match 1 shared topics	Khalid Bakhtaoui - IT Security & DevOps Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ecrimelabs.eu ↗	65 match 1 shared topics	eCrimeLabs \| Threat Intelligence & Security Engineering	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
m-cyber.io ↗	65 match 1 shared topics	Mohammed Al-Maghamsi — Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
samuelgabor.com ↗	65 match 1 shared topics	Samuel Gábor - Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
laronlumpkin.com ↗	65 match 1 shared topics	LaRon Lumpkin – Cybersecurity Engineer \| Coffee Addict \| Sec+	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
baelfiresecurity.com ↗	65 match 1 shared topics	Baelfire's Thoughts – Programmer, Electrical Engineer, Maker, Security Researcher, ...	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bakrfayez.com ↗	65 match 1 shared topics	Bakr Fayez — Cybersecurity Expert & Senior Backend Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abhinavverma.codes ↗	65 match 1 shared topics	Abhinav Verma - Cybersecurity Engineer & Digital Defense Specialist	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsr.com ↗	65 match 1 shared topics	Suleman Rehman — Red Team Engineer & Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackmarshal.dev ↗	65 match 1 shared topics	Prince Asiedu \| Software Engineer · DevSecOps · Software Supply Chain Security · Open Source	GH~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
csay.org ↗	65 match 1 shared topics	CSAY 1.0 - Cyber & Social Awareness Yatra 1.0	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
totalsecurity-pr.com ↗	65 match 1 shared topics	TSPR 2.0 — Total Security Process Reengineering	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.