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ScubenAI - AI-Powered Cybersecurity Solutions — 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
1-pro.net ↗	76 match 2 shared topics	1PRO Solutions - AI-Powered Cybersecurity & Innovation \| Enterprise Security Services	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
avatier.com ↗	75 match 2 shared topics	AI Powered IAM & Security Solutions - Avatier	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
1cyber.io ↗	73 match 2 shared topics	1CYBER.IO - Your AI-Powered Cybersecurity Workforce	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
360sec.com ↗	72 match 2 shared topics	AI-Powered Cybersecurity Services — MDR, Red Teaming & AI Security Testing \| 360 Security Group	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
blacknode.cloud ↗	72 match 2 shared topics	Black Node — AI Cybersecurity & Automation	en	information-and-network-security	robotsllmsaihumans	email phone	none
coreapexpartners.com ↗	71 match 2 shared topics	CORE Apex Solutions \| AI Governance & Cybersecurity Consulting	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
bairdaugustineteam.com ↗	71 match 2 shared topics	APIsec: AI-Powered Continuous API Security Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
bairdaugustineibank.com ↗	71 match 2 shared topics	APIsec: AI-Powered Continuous API Security Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
bairdaugustineib.com ↗	71 match 2 shared topics	APIsec: AI-Powered Continuous API Security Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
bairdaugustinebank.com ↗	71 match 2 shared topics	APIsec: AI-Powered Continuous API Security Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abstract.engineering ↗	71 match 2 shared topics	Seif.ai - Continuous cybersecurity across all assets	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thornmail.com ↗	71 match 2 shared topics	Thornmail - AI-Powered Smart Contract Security Audits	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onfishy.com ↗	70 match 2 shared topics	Fishy - AI-Powered Scam Detection	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
spirko.net ↗	70 match 2 shared topics	Spirko Enterprises, LLC \| Digital Products, Automation & Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackswantechnologies.com ↗	70 match 2 shared topics	AI, Cybersecurity & Risk Management Consulting \| Black Swan Technologies%	en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
thezaraai.com ↗	70 match 2 shared topics	TheZaraAI — AI · Cybersecurity · Automation	en	artificial-intelligence Spree Commerce	robotsllmsaihumans	emailphone	none
onmero.com ↗	70 match 2 shared topics	Onmero International \| AI-Powered Identity & Security	en	information-and-network-security	robotsllmsaihumans	email phone	none
oneseccurepipeline.com ↗	70 match 2 shared topics	SecurePipeline - Predictable Pipeline for Cybersecurity Firms	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.