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Stormhold Security | Local AI Code Review, Web App Pentesting, and Private AI — 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
0xclaw.dev ↗	72 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
2thrivellc.com ↗	69 match 2 shared topics	Cyber Security and AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eaglesfield.ai ↗	69 match 2 shared topics	Eaglesfield Adversarial AI \| LLM Security & AI Safety Testing	United Kingdom~ en	artificial-intelligence	robotsllmsaihumans	email phone	none
mindfizz.ai ↗	69 match 2 shared topics	MindFizz — AI Security & Automation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
acecyberconsult.com ↗	68 match 2 shared topics	Acelogic Cyber Consulting LLC \| Security Reviews, Reverse Engineering & AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dosonet.com ↗	68 match 2 shared topics	DosoNet \| AI-Powered Information Security Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
paniago.io ↗	68 match 2 shared topics	PANIAGO \| AI Pentesting & Offensive Security Expert - Pedro Paniago	en	information-and-network-security WooCommerce	robotsllmsaihumans	emailphone	none
360sec.com ↗	67 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
agenticgate.io ↗	67 match 2 shared topics	Agentic Gate - Enterprise Security for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
stopahack.com ↗	67 match 2 shared topics	StopAHack.com \| Military-Born AI Security & Cybersecurity	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
cytix.io ↗	67 match 2 shared topics	Cytix - AI-Powered Security Testing Platform	United Kingdom~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
bairdaugustineteam.com ↗	67 match 2 shared topics	APIsec: AI-Powered Continuous API Security Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
bairdaugustinebank.com ↗	67 match 2 shared topics	APIsec: AI-Powered Continuous API Security Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bairdaugustineibank.com ↗	67 match 2 shared topics	APIsec: AI-Powered Continuous API Security Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
bairdaugustineib.com ↗	67 match 2 shared topics	APIsec: AI-Powered Continuous API Security Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mind-gard.com ↗	67 match 2 shared topics	Mindgard - Automated AI Red Teaming & Security Testing	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mindgard.ai ↗	67 match 2 shared topics	Mindgard - Automated AI Red Teaming & Security Testing	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
trakory.com ↗	67 match 2 shared topics	Trakory — AI-Powered Security Auditing	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.