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Standardsprotocol alternatives & similar sites

Standards Protocol | Institutional OSINT & Intelligence Platform — 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
csintlarp.org ↗	74 match 1 shared topics	Sujrb \| OSINT Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctx.io ↗	71 match 1 shared topics	CTX \| Cyber Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
6ringsdata.com ↗	71 match 1 shared topics	6Rings \| Operational Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deceptionstrike.com ↗	71 match 1 shared topics	Deception Strike - Threat Intelligence Platform	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
khaicode.com ↗	70 match 1 shared topics	KhaiCode - Binary Exploit Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
globalsocradar.com ↗	70 match 1 shared topics	SOCRadar Extended Threat Intelligence Platform	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
defensefrequency.com ↗	70 match 1 shared topics	Defense Frequency \| Witness Protection Software & VIP Security Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deepsecure.io ↗	70 match 1 shared topics	DeepSecure - Dark Web Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
glaim.io ↗	70 match 1 shared topics	Glaim.io - Cybersecurity Intelligence Decision Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fortisec.net ↗	70 match 1 shared topics	Fortisec \| Operational Risk Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vulnbase.org ↗	70 match 1 shared topics	VulnBase — Global Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ainow.tech ↗	69 match 1 shared topics	Intelligence NOW	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thebalkanid.com ↗	69 match 1 shared topics	BalkanID \| Intelligent Identity Security and Access Governance Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
afrosec.xyz ↗	69 match 1 shared topics	AfroSec \| African Cyber Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
misp-project.org ↗	69 match 1 shared topics	MISP Open Source Threat Intelligence Platform & Open Standards For Threat Intelligence Sharing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
misp.software ↗	69 match 1 shared topics	MISP Open Source Threat Intelligence Platform & Open Standards For Threat Intelligence Sharing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
misp-project.org ↗	69 match 1 shared topics	MISP Open Source Threat Intelligence Platform & Open Standards For Threat Intelligence Sharing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
domainscan.tech ↗	69 match 1 shared topics	DomainScan — Domain Security Intelligence Platform	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.