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Nsacsfc alternatives & similar sites

Home - CSfC for DAR — 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
darknetdiaries.com ↗	70 match shared topic	Darknet Diaries – True stories from the dark side of the Internet.	en	information-and-network-security Shopify	robotsllmsaihumans	emailphone	none
spycloud.com ↗	70 match shared topic	Identity Threat Protection Powered by Recaptured Dark Web Data	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
blackkite.com ↗	70 match shared topic	Black Kite \| Standards-Based Third-Party Cyber Risk Management	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
securityforduediligence.com ↗	70 match shared topic	Cyber Security Due Diligence Standards (DDS) \| by G5 Cyber Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackkitetech.com ↗	70 match shared topic	Black Kite \| Standards-Based Third-Party Cyber Risk Management	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
misp-project.org ↗	70 match shared topic	MISP Open Source Threat Intelligence Platform & Open Standards For Threat Intelligence Sharing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
socradar.io ↗	70 match shared topic	SOCRadar Extended Threat Intelligence Platform	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
constellaintelligence.com ↗	70 match shared topic	Identity Risk Intelligence & Dark Web Monitoring \| Constella	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
constella.ai ↗	70 match shared topic	Identity Risk Intelligence & Dark Web Monitoring \| Constella	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
zkproof.org ↗	70 match shared topic	Homepage - ZKProof Standards	en	information-and-network-security WordPress	robotsllmsaihumans	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
eff.org ↗	55 match shared topic	Electronic Frontier Foundation \| Defending your rights in the digital world	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
blockmarktech.com ↗	55 match shared topic	Home - BlockMark Technologies	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
urldefense.com ↗	55 match shared topic	Proofpoint - ZenWeb™	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trustarc.com ↗	55 match shared topic	Data Privacy Management Software & Solutions \| TrustArc	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
comodo.com ↗	55 match shared topic	Advanced Website Protection for Unmatched Cyber Defense	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	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.