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Arbor DDoS Detector – Defend Against DDoS Attacks — 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
uni-mannheim.de ↗	100 match 19 shared linkers	Uni Mannheim: studieren und forschen im Schloss \| Universität Mannheim	Germany de	college-education TYPO3	robotsllmsaihumans	emailphone	none
arbornetworks.com ↗	85 match shared topic	Arbor DDoS Detector – Defend Against DDoS Attacks	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
raspberrypi.org ↗	67 match 19 shared linkers · same topic	Teach, learn, and make with the Raspberry Pi Foundation	en	programming-languages	robotsllmsaihumans	emailphone	none
siteprotection.io ↗	67 match shared topic	BitNinja SiteProtection – SiteProtection is an all-in-one autopilot website security solution for any website owner against targeted attacks.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
uni-stuttgart.de ↗	65 match 19 shared linkers	Universität Stuttgart	Germany de	college-education	robotsllmsaihumans	emailphone	none
eff.org ↗	61 match shared topic	Electronic Frontier Foundation \| Defending your rights in the digital world	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
bbc.co.uk ↗	16 match 19 shared linkers	BBC - Home	United Kingdom en	television	robotsllmsaihumans	emailphone	none
netscout.com ↗	61 match shared topic	NETSCOUT Observability, Cybersecurity, DDoS, & AIOps Solutions	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
ddosnull.com ↗	61 match shared topic	ddosNull Shield \| DDoS & Bot Protection for WordPress	Canada~ en	information-and-network-security WooCommerce	robotsllmsaihumans	email phone	none
secureworks.com ↗	61 match shared topic	Sophos: Defeat Cyberattacks with Cybersecurity as a Service	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ondefend.com ↗	61 match shared topic	Advanced Adversarial Cybersecurity Services \| OnDefend	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
vectra.ai ↗	61 match shared topic	Vectra AI \| Cybersecurity AI That Stops Attacks Others Can’t	United States~ en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
flare.io ↗	61 match shared topic	Cut Off Attacks at the Source \| Threat Intelligence - Flare	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
beyondidentity.com ↗	61 match shared topic	Beyond Identity \| The Only Platform Built to Eliminate Identity-Based Attacks	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
dmca.com ↗	55 match shared topic	Content Protection and Takedown Company Since 2006 \| DMCA.com	en	information-and-network-security	robotsllmsaihumans	emailphone	none
wpguardian.io ↗	55 match shared topic	Effective Security for WordPress Sites- WPGuardian	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
domaintools.com ↗	55 match shared topic	Threat Intelligence & Domain Security Platform \| DomainTools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blockmarktech.com ↗	55 match shared topic	Home - BlockMark Technologies	en	information-and-network-security WordPress	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.