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Cybersecurity News, Insights and Analysis | SecurityWeek — 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
threatdata.org ↗	100 match 3 shared topics	Cybersecurity News, Insights and Analysis \| SecurityWeek	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
threatdata.com ↗	100 match 3 shared topics	Cybersecurity News, Insights and Analysis \| SecurityWeek	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
threatinsider.com ↗	100 match 3 shared topics	Cybersecurity News, Insights and Analysis \| SecurityWeek	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
threatfeed.com ↗	100 match 3 shared topics	Cybersecurity News, Insights and Analysis \| SecurityWeek	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
oversecurity.net ↗	75 match 3 shared topics	Over Security - Cybersecurity news aggregator	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threatwiredaily.com ↗	72 match 3 shared topics	ThreatWire Daily \| Cybersecurity News, CMMC Compliance & IT Security Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digi-trendz.com ↗	70 match 3 shared topics	Digi Trendz — Cybersecurity News, AI Updates, AI Tools & Breach Checker	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 6
digdomains.com ↗	64 match 3 shared topics	Cyber News & Trends \| DigDomains.com	en	information-and-network-security	robotsllmsaihumans	emailphone	none
simppl.org ↗	62 match 3 shared topics	SimPPL · Reliable information, in the hands of the people whose decisions depend on it	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
digcit.org ↗	61 match 3 shared topics	Digital Citizen \| Electronic Frontier Foundation	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
digcit.com ↗	61 match 3 shared topics	Digital Citizen \| Electronic Frontier Foundation	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
threatline.io ↗	61 match 3 shared topics	Threatline	en	information-and-network-security	robotsllmsaihumans	emailphone	none
africaiswatching.org ↗	60 match 3 shared topics	Africa Watch — Situational Awareness	en	information-and-network-security	robotsllmsaihumans	emailphone	none
janataar.com ↗	60 match 3 shared topics	Janataar	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
3corns.com ↗	58 match 3 shared topics	3Corns - Cyber Security News, Exploits & Analysis	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thisweekincybersecurity.com ↗	52 match 3 shared topics	This Week in Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thetechbites.com ↗	49 match 3 shared topics	Daily Bite of Tech Insights	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalsafety.news ↗	48 match 3 shared topics	digitalsafety.news — Trust & Safety 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.