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Steel Talon — AI consulting & cybersecurity readiness — 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
lithops-consulting.com ↗	76 match 2 shared topics	LithOps Consulting \| AI & CyberSecurity Experts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lminnovatech.com ↗	74 match 2 shared topics	LMINNOVATECH \| IT, Cybersecurity & AI Consulting	United Kingdom~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
2thrivellc.com ↗	74 match 2 shared topics	Cyber Security and AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dossecsolutions.com ↗	72 match 2 shared topics	DosSec Solutions \| Cybersecurity & AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ai-security-consultant.ch ↗	72 match 2 shared topics	AI Security Consultant — Automated Cybersecurity for SMEs	Switzerland en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ctrlsec.io ↗	72 match 2 shared topics	CtrlSec — AI-Powered Cybersecurity Platform	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
3mpath.net ↗	70 match 2 shared topics	3mpath — AI-Cybersecurity Architect	en	information-and-network-security	robotsllmsaihumans	emailphone	none
internetgdl.com ↗	70 match 2 shared topics	Eduardo — DevOps · Cybersecurity · AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
assumeleak.com ↗	70 match 2 shared topics	Assume Leak HQ - AI Cybersecurity Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vortexzen.com ↗	70 match 2 shared topics	VortexZen — AI-Powered Cybersecurity for Real People	en	information-and-network-security Gumroad	robotsllmsaihumans	emailphone	none
donetechguides.com ↗	70 match 2 shared topics	Plain-English Cybersecurity & Tech Guides \| DoneTechGuides	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
neetrox.com ↗	70 match 2 shared topics	NeetroX — n8n Cybersecurity Workflows & AI SOC Automation	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
aurigosoftwaretechnologies.info ↗	69 match 2 shared topics	Devon & Cornwall Computers \| AI Cybersecurity Solutions for Canadian Businesses	en	information-and-network-security	robotsllmsaihumans	emailphone	none
livecytex.com ↗	69 match 2 shared topics	Leading Cybersecurity Solutions & Risk Management \| Cytex.io	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
prudhvisiva.com ↗	69 match 2 shared topics	Prudhvi Siva Innamuri — Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
360sec.com ↗	69 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
llmforcyber.com ↗	69 match 2 shared topics	LLM for Cyber \| Improving Cybersecurity with LLMs	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
protectyr.com ↗	69 match 2 shared topics	Protectyr \| AI-Powered Cybersecurity for Small Business	en	information-and-network-security	robots llmsaihumans	emailphone	full · 13

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.