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Next Generation Cybersecurity Intelligence | BlockSecBrain — 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
ambient.ai ↗	71 match 2 shared topics	Prevent security incidents with computer vision intelligence \| Ambient.ai	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
blacknode.cloud ↗	71 match 2 shared topics	Black Node — AI Cybersecurity & Automation	en	information-and-network-security	robotsllmsaihumans	email phone	none
blue-bird.ai ↗	70 match 2 shared topics	Bluebird AI \| AI-Powered Security & Business Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
thezaraai.com ↗	69 match 2 shared topics	TheZaraAI — AI · Cybersecurity · Automation	en	artificial-intelligence Spree Commerce	robotsllmsaihumans	emailphone	none
spirko.net ↗	69 match 2 shared topics	Spirko Enterprises, LLC \| Digital Products, Automation & Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1-pro.net ↗	69 match 2 shared topics	1PRO Solutions - AI-Powered Cybersecurity & Innovation \| Enterprise Security Services	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
mchugh.ai ↗	69 match 2 shared topics	Jeremy McHugh, D.Sc. — Cybersecurity & AI	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cooties.io ↗	68 match 2 shared topics	Cooties@Blog \| Cybersecurity & AI Research Insights	en	information-and-network-security	robotsllmsaihumans	emailphone	none
luongnv.com ↗	68 match 2 shared topics	Luong Nguyen \| AI & Cybersecurity Engineer	France~ en	information-and-network-security	robots llmsaihumans	emailphone	none
coreapexpartners.com ↗	68 match 2 shared topics	CORE Apex Solutions \| AI Governance & Cybersecurity Consulting	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
landmarksignal.com ↗	68 match 2 shared topics	LandmarkSignal \| Intelligence you can trust	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneseccurepipeline.com ↗	68 match 2 shared topics	SecurePipeline - Predictable Pipeline for Cybersecurity Firms	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onlinewarning.com ↗	68 match 2 shared topics	AI Cybersecurity Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
imrullabs.com ↗	68 match 2 shared topics	Imrul Labs — Securing Systems. Automating Intelligence.	BD~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackunicorn.tech ↗	67 match 2 shared topics	LLM Security Testing & EU AI Compliance \| Black Unicorn Security	en	information-and-network-security	robots llmsaihumans	emailphone	none
onlinetaniumevents.com ↗	67 match 2 shared topics	Autonomous IT, endpoint intelligence and control	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
onlinetaniumevent.com ↗	67 match 2 shared topics	Autonomous IT, endpoint intelligence and control	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
blackswantechnologies.com ↗	67 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.