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Intelligence Training 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
perspectiveintelligence.co.uk ↗	100 match 1 shared topics	OSINT & Attack Surface Intelligence Services London & The UK	United Kingdom en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
openeasm.com ↗	75 match 1 shared topics	OpenEASM - Attack Surface Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackradar.ai ↗	73 match 1 shared topics	BlackRadar.ai \| Dark Web Intelligence & Attack Surface Management	en	information-and-network-security	robotsllmsaihumans	email phone	none
opencti.app ↗	72 match 1 shared topics	ThreatSight - OSINT Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
torchesysteme.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
bairavaintelligence.com ↗	70 match 1 shared topics	Bairava Intelligence Security Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
webroot.be ↗	70 match 1 shared topics	Cybersecurity & Threat Intelligence Services \| Webroot	Belgium en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackrockintel.com ↗	70 match 1 shared topics	Digital Threat & Risk Protection \| Blackrock Intelligence - Blackrock Intelligence	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
openipapi.com ↗	70 match 1 shared topics	OpenIPApi — IP Geolocation & Threat Intelligence API	en	information-and-network-security	robotsllmsaihumans	emailphone	none
adict.cfd ↗	70 match 1 shared topics	User Intelligence - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
toproadliveradio.com ↗	70 match 1 shared topics	Domain Intelligence Dashboard	en	information-and-network-security	robotsllmsaihumans	emailphone	none
patternrecognition.uk ↗	69 match 1 shared topics	Domain Intelligence	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
bluethreatintelligence.com ↗	69 match 1 shared topics	BlueThreat Intelligence \| Darknet Monitoring, Cyber Threat Intelligence & Exposure Monitoring	en	information-and-network-security	robotsllmsaihumans	emailphone	none
operationcyberaware.com ↗	69 match 1 shared topics	Operation Cyber Aware \| Cybersecurity Resources & Threat Intelligence	en	information-and-network-security Spree Commerce	robots llmsaihumans	emailphone	none
blacknote-intelligence.com ↗	69 match 1 shared topics	BCI — Private Cyber Intelligence & Digital Executive Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 7
abuse.abudhabi ↗	69 match 1 shared topics	Abuse Intelligence Labs — Cyber Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
openphish.com ↗	69 match 1 shared topics	OpenPhish - Phishing Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
opfor.dev ↗	68 match 1 shared topics	OpFor — Open-Source Threat Intelligence	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.