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Free Trial — AI-Driven Vulnerability Management | Scan Ninja — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
backline.ai ↗	72 match 2 shared topics	Vulnerability Management, Scaled To Fix With AI \| Backline	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
accurics.website ↗	70 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
accurics.site ↗	70 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
accurics.pro ↗	70 match 2 shared topics	Vulnerability and exposure management \| Cloud and AI security \| Tenable®	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
1hackerone.com ↗	68 match 2 shared topics	HackerOne \| Leader in Continuous Threat Exposure Management \| Security for AI	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
0run.net ↗	67 match 2 shared topics	runZero: Exposure Management for the AI-attack era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0run.org ↗	67 match 2 shared topics	runZero: Exposure Management for the AI-attack era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
incompleteness.ai ↗	67 match 2 shared topics	Incompleteness - AI-Driven Security Testing	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
spog.ai ↗	67 match 2 shared topics	Cyber Governance & Exposure Management Platform \| SPOG.AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
2soh.com ↗	66 match 2 shared topics	2soh \| AI-driven Enterprise Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
tortugaco.dev ↗	66 match 2 shared topics	Tortuga Co — AI-Driven DevSecOps & Cloud Security Engineering	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
blackkitesec.com ↗	66 match 2 shared topics	Black Kite \| Standards-Based Third-Party Cyber Risk Management	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
blackkiteinc.com ↗	66 match 2 shared topics	Black Kite \| Standards-Based Third-Party Cyber Risk Management	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
blackkitehq.com ↗	66 match 2 shared topics	Black Kite \| Standards-Based Third-Party Cyber Risk Management	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
corecyber.io ↗	65 match 2 shared topics	CoreCyber - Your DIY for AI Cyber Risk Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thinktech.ai ↗	65 match 2 shared topics	Wisr AI \| Autonomous Risk Management at Machine Speed	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpmanager.ai ↗	65 match 2 shared topics	MCP Manager - MCP Gateway: Security, Deployment, & Observability	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
blackswantechnologies.com ↗	65 match 2 shared topics	AI, Cybersecurity & Risk Management Consulting \| Black Swan Technologies%	en	artificial-intelligence WordPress	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.