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Cyberintel alternatives & similar sites

OSINT & Attack Surface Intelligence Services London & The UK — 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
farallon.io ↗	72 match 1 shared topics	OSINT Open Source Intelligence Services Farallon LLC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csintlarp.org ↗	71 match 1 shared topics	Sujrb \| OSINT Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lunacon9.com ↗	71 match 1 shared topics	LC9 Threat Intelligence	en	information-and-network-security	robots llmsaihumans	emailphone	none
systemesdetorche.com ↗	70 match 1 shared topics	Cut Off Attacks at the Source \| Threat Intelligence - Flare	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
systemedetorches.com ↗	70 match 1 shared topics	Cut Off Attacks at the Source \| Threat Intelligence - Flare	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
cyberintelligence.tech ↗	70 match 1 shared topics	Cyber Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyber-intelligence.tech ↗	70 match 1 shared topics	Cyber Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctx.io ↗	70 match 1 shared topics	CTX \| Cyber Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybrain.tech ↗	70 match 1 shared topics	Nerd@Heart — Cybersecurity Intelligence & Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
useopsis.com ↗	69 match 1 shared topics	Opsis OSINT - Intelligence Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
urbancybersec.com ↗	69 match 1 shared topics	Security SDKs & Threat Intelligence Network \| Urban Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
carolinacleartech.com ↗	69 match 1 shared topics	Carolina Clear Tech - Daily Intelligence Briefings & IT Services	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
casalytica.com ↗	69 match 1 shared topics	Casalytica - Intelligence for the Vigilant	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybintops.org ↗	69 match 1 shared topics	CYBINT Terminal \| Cyber Intelligence Dashboard	en	information-and-network-security	robotsllmsaihumans	emailphone	none
discoveredintelligence.com ↗	69 match 1 shared topics	Discovered Intelligence \| Splunk & Cribl Data Services / Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
luksmentis.com ↗	69 match 1 shared topics	LuksMentis — Cyber threat intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
sappsecurity.com ↗	69 match 1 shared topics	SAPP Security \| Physical Attack Surface Protection & Proximity Threat Management	GB~ en	information-and-network-security	robots llmsaihumans	email phone	none
acquiredsec.com ↗	69 match 1 shared topics	acquiredsec — Threat Intelligence & Research	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8

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.