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Nithic — The interaction security layer for the AI era — 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
vouch-agent.com ↗	72 match 1 shared topics	TARS — The trust layer for the agentic web	en	information-and-network-security	robotsllmsaihumans	emailphone	none
capxelsecurity.com ↗	70 match 1 shared topics	Threat Intelligence for the Agentic Era \| Capxel Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
antmindlabs.space ↗	70 match 1 shared topics	InvisiSense \| The Invisible Security Layer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
acap.foundation ↗	70 match 1 shared topics	ACAP — The Certification Standard for offensive AI security agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
demtechgroup.eu ↗	70 match 1 shared topics	CISAT - Center for Information Security and Trust	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
layersevensecurity.com ↗	69 match 1 shared topics	Home - Layer Seven Security	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
netskope.co.uk ↗	69 match 1 shared topics	Netskope: modern security and networking for the cloud and AI era	United Kingdom en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
netskope.uk ↗	69 match 1 shared topics	Netskope: modern security and networking for the cloud and AI era	United Kingdom en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
eknix.com ↗	69 match 1 shared topics	Eknix — Web security & performance for the enterprise	en	information-and-network-security	robots llmsaihumans	emailphone	none
mcpsoc.dev ↗	69 match 1 shared topics	MCP SOC — Security Operations Center	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpscanner.cloud ↗	69 match 1 shared topics	MCP Scanner — Security Scanner for MCP Servers	en	information-and-network-security	robots llmsaihumans	emailphone	none
cyberwall.eu ↗	69 match 1 shared topics	WebWall — The security platform for post-HTTP enterprise apps	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
nlasecuritygroup.com ↗	69 match 1 shared topics	NLA \| Private Security For The Industry Elite	en	information-and-network-security	robotsllmsaihumans	email phone	partial · 12
1ransom.com ↗	68 match 1 shared topics	1RANSOM - Fractional Security Leadership	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csptool.net ↗	68 match 1 shared topics	CSP Tool - Browser Extension for Content Security Policy Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alkaloidsecurity.com ↗	68 match 1 shared topics	Alkaloid Security — Privacy-First Endpoint Detection for macOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3sisecurity.com ↗	68 match 1 shared topics	3Si Security Systems - Actionable crime intelligence	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
mcpsafe.org ↗	68 match 1 shared topics	MCPSafe - Security Scanner for MCP Servers	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.