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Tyler Buza | DCO SME, Threat Hunter & Detection 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
philastokes.com ↗	74 match 1 shared topics	Phil Stokes – macOS security researcher, malware analyst, detection engineer, threat hunter.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
r0shhh.dev ↗	72 match 1 shared topics	Security Portfolio \| Detection Engineering & SOC Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oceanwolf.tech ↗	69 match 1 shared topics	OceanWolf \| Cyber Protection Engineered for Decisive Advantage	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mine2.io ↗	69 match 1 shared topics	MINE2 - Cyber Deception & Threat Detection Platform	India~ en	information-and-network-security	robots llmsaihumans	emailphone	none
guardhawk.com ↗	68 match 1 shared topics	Cross-System Threat Detection Platform \| Guard Hawk	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ecrimelabs.eu ↗	68 match 1 shared topics	eCrimeLabs \| Threat Intelligence & Security Engineering	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
aaronjohns.com ↗	67 match 1 shared topics	Aaron Johns \| Systems Engineer & Security Leader	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ashishdevchoudhary.com ↗	67 match 1 shared topics	Ashish Dev Choudhary \| Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	email phone	none
odzyskiwaniedanych.org ↗	67 match 1 shared topics	Bartosz Wójcik — Software Protection & Reverse Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aahmadnejad.net ↗	67 match 1 shared topics	Home \| Amirhossein Ahmadnejad Roudsari - Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aahmadnejad.com ↗	67 match 1 shared topics	Home \| Amirhossein Ahmadnejad Roudsari - Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
peterfarah.com ↗	67 match 1 shared topics	Peter Farah \| Cybersecurity & Network Engineer	LB~ en	information-and-network-security	robots llmsaihumans	emailphone	none
davyrogers.uk ↗	67 match 1 shared topics	Davy Rogers - Lead Application Security Engineer \| CISSP, OSCP	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
davyrogers.co.uk ↗	67 match 1 shared topics	Davy Rogers - Lead Application Security Engineer \| CISSP, OSCP	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
eliate.com ↗	67 match 1 shared topics	eliate \| fractional security engineering	Australia~ en	information-and-network-security	robots llmsaihumans	emailphone	none
quantumindustrialtech.org ↗	66 match 1 shared topics	Quantum Security Platform - Advanced Threat Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
quantumindustrialtech.net ↗	66 match 1 shared topics	Quantum Security Platform - Advanced Threat Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nullvectorsec.com ↗	66 match 1 shared topics	NullVector \| Cybersecurity Consulting — Penetration Testing, Defensive Engineering & Fractional CISO	United States~ 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.