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Threlon alternatives & similar sites

Threlon. Detection engineering for the middle. — 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
jamesbullen.com ↗	71 match 1 shared topics	James Bullen — Detection & Response Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gangcool.com ↗	69 match 1 shared topics	GangCool - Cryptographic Security Engineering for Enterprise Systems	en	information-and-network-security	robotsllmsaihumans	emailphone	none
theta-point.com ↗	69 match 1 shared topics	ThetaPoint - Virtual CISO and Security Engineering Services	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
threathound.com ↗	69 match 1 shared topics	code auditing \| reverse engineering \| penetration testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
threatplane.com ↗	69 match 1 shared topics	Threatplane \| Risk-based threat modelling for engineering and product teams	en	information-and-network-security	robots llmsaihumans	emailphone	none
cswithvarun.com ↗	68 match 1 shared topics	Engineering Security at the Speed of Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bookzeoredteam.com ↗	68 match 1 shared topics	Penetration Testing & Security Engineering \| Zeo InfoSec Omaha	en	information-and-network-security	robotsllmsaihumans	email phone	none
jalaly.com ↗	68 match 1 shared topics	Mansour Jalaly — Security Engineering	United Kingdom~ en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
sayho-solutions.com ↗	68 match 1 shared topics	SAYHO — ICT, AV & Security Engineering Consultancy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsha.io ↗	68 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
savvycybersolutions.com ↗	67 match 1 shared topics	Carbynix \| Expert-Led Managed Detection & Response	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
nak.co ↗	67 match 1 shared topics	NAK Engineering \| Hardware Design & Secure Embedded Systems Architecture	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
threatzer.com ↗	67 match 1 shared topics	Threatzer - Cyber defense, engineered	Estonia~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
thretiq.com ↗	67 match 1 shared topics	ThretIQ - Automated Breach Detection for Businesses and Agencies	en	information-and-network-security	robotsllmsaihumans	emailphone	none
webdrm.com ↗	67 match 1 shared topics	WebDRM.com — Browser Content Protection For The AI Era	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
3accents.com ↗	67 match 1 shared topics	Three Accents Consulting LLC \| C4 & Cyber Systems Engineering (SDVOSB)	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
agilitydelivered.com ↗	67 match 1 shared topics	AgilityDelivered \| Engineering Business Agility	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1ondizayn.com ↗	67 match 1 shared topics	Bot Detection	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.