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SimuPhish | The AI Driven Human Risk Management+ 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
outthink-security.com ↗	74 match 2 shared topics	OutThink \| Cybersecurity Human Risk Management Platform	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
outthink.io ↗	74 match 2 shared topics	OutThink \| Cybersecurity Human Risk Management Platform	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
outthinkglobal.com ↗	74 match 2 shared topics	OutThink \| Cybersecurity Human Risk Management Platform	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
ctrltower.org ↗	69 match 2 shared topics	Ctrl Tower \| The operating system for AI-era risk management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scaleblackkite.com ↗	69 match 2 shared topics	Black Kite \| Standards-Based Third-Party Cyber Risk Management	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
thinktech.ai ↗	68 match 2 shared topics	Wisr AI \| Autonomous Risk Management at Machine Speed	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dependencies.com ↗	68 match 2 shared topics	Safety - The AI Development Security Platform	en	artificial-intelligence	robots llmsaihumans	emailphone	none
0run.net ↗	68 match 2 shared topics	runZero: Exposure Management for the AI-attack era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0run.org ↗	68 match 2 shared topics	runZero: Exposure Management for the AI-attack era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentbounty.ai ↗	67 match 2 shared topics	Agent Bounty - AI-Native Unified Exposure Management Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scancytex.com ↗	67 match 2 shared topics	Leading Cybersecurity Solutions & Risk Management \| Cytex.io	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
scanninjasecurity.com ↗	67 match 2 shared topics	Free Trial — AI-Driven Vulnerability Management \| Scan Ninja	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
scanninjaworks.com ↗	67 match 2 shared topics	Free Trial — AI-Driven Vulnerability Management \| Scan Ninja	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
scanninjacompliance.com ↗	67 match 2 shared topics	Free Trial — AI-Driven Vulnerability Management \| Scan Ninja	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
scanninjatech.com ↗	67 match 2 shared topics	Free Trial — AI-Driven Vulnerability Management \| Scan Ninja	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
scanninjateam.com ↗	67 match 2 shared topics	Free Trial — AI-Driven Vulnerability Management \| Scan Ninja	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
scanninjasystems.com ↗	67 match 2 shared topics	Free Trial — AI-Driven Vulnerability Management \| Scan Ninja	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
scanninjasolutions.com ↗	67 match 2 shared topics	Free Trial — AI-Driven Vulnerability Management \| Scan Ninja	en	artificial-intelligence	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.