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STBCS | Threat Intelligence & Incident Response — 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
delftintellab.com ↗	76 match 1 shared topics	Delft Threat Intelligence Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
breached.company ↗	76 match 1 shared topics	Breach Intelligence, Incident Response & Consumer Protection \| Breached.Company	en	information-and-network-security	robots llms aihumans	emailphone	partial · 9
getsocradar.com ↗	75 match 1 shared topics	SOCRadar Extended Threat Intelligence Platform	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
globalsocradar.com ↗	75 match 1 shared topics	SOCRadar Extended Threat Intelligence Platform	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
embeeresearch.io ↗	74 match 1 shared topics	Malware Analysis and Threat Intelligence Research	en	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
falconintel.org ↗	74 match 1 shared topics	FalconIntel \| Threat Intelligence Fusion Center	en	information-and-network-security	robotsllmsaihumans	emailphone	none
whiteout.net ↗	74 match 1 shared topics	Whiteout · Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctx.io ↗	74 match 1 shared topics	CTX \| Cyber Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyb3rcypher.com ↗	74 match 1 shared topics	Cyb3rCypher — Cyber Threat Intelligence Briefings	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityguru.biz ↗	74 match 1 shared topics	CYBERSECURITYGURU - Threat Intelligence Dashboard	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberhawk-ug.store ↗	73 match 1 shared topics	CyberSec Updates — Live Threat Intelligence Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
falconfeeds.io ↗	73 match 1 shared topics	FalconFeeds.io \| Real-Time Cyber Threat Intelligence & Dark Web Monitoring	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
afrosec.xyz ↗	73 match 1 shared topics	AfroSec \| African Cyber Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
terriscope.com ↗	73 match 1 shared topics	Terriscope \| Real-Time Terrorism Alerts & Threat Intelligence	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybercrime.works ↗	73 match 1 shared topics	CYBERCRIME.works — Ransomware & Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberserval.tech ↗	73 match 1 shared topics	CyberServal – WAF, IP Threat Intelligence & Web Monitoring \| CyberServal	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alphacontext.com ↗	73 match 1 shared topics	AlphaContext — Threat intelligence at the resource layer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nestler.dev ↗	73 match 1 shared topics	Sentinel \| Enterprise Threat Intelligence \| nestler.dev	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.