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Detectionengineering alternatives & similar sites

Detection Engineering Maturity Matrix — 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
alexburst.dev ↗	73 match 1 shared topics	Alex Burst // Detection Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
d-cryptor.com ↗	71 match 1 shared topics	Cybersecurity \| ST Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsha.io ↗	70 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hglass.dev ↗	70 match 1 shared topics	Hunter Glass \| Cybersecurity & I&C Engineering	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
baohoang.dev ↗	70 match 1 shared topics	Bao Hoang - Security Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
icalia.com ↗	69 match 1 shared topics	ICALIA SYSTEMS - Security Engineering & Red Team	en	information-and-network-security	robotsllmsaihumans	emailphone	none
qcicgroup.uk ↗	69 match 1 shared topics	Global security engineering company \| QCIC Security Assured	GB en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qcicgroup.co.uk ↗	69 match 1 shared topics	Global security engineering company \| QCIC Security Assured	GB en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qcic-group.uk ↗	69 match 1 shared topics	Global security engineering company \| QCIC Security Assured	GB en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
qcic-group.co.uk ↗	69 match 1 shared topics	Global security engineering company \| QCIC Security Assured	GB en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
iccrie.com ↗	69 match 1 shared topics	2026 International Conference on Cybersecurity, Robotics, and Information Engineering (CRIE 2026)	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zanshinpartners.com ↗	69 match 1 shared topics	ZANSHIN PARTNERS — Engineering · Product · Security Aligned	en	information-and-network-security	robotsllmsaihumans	emailphone	none
iceiec.com ↗	69 match 1 shared topics	2026 International Conference on Electronic Information Engineering and Cybersecurity (ICEIEC 2026)	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cifersid.com ↗	69 match 1 shared topics	Solution CifersID, Security Operations, Audits, and Identity Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyrusx.io ↗	68 match 1 shared topics	CyrusX — Free Network Engineering & Cybersecurity Tools	en	information-and-network-security	robots llmsaihumans	emailphone	none
dotimg.com ↗	68 match 1 shared topics	SSE – Secure Systems Engineering	en	information-and-network-security	robotsllmsaihumans	email phone	none
trigosec.com ↗	68 match 1 shared topics	trigosec: engineering for trust-critical systems	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ianschoenrock.com ↗	68 match 1 shared topics	Ian Schoenrock \| Mobile Security Engineering	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.