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Offensive AI Conference | Join us in Oceanside, San Diego — 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
trappedionsystems.com ↗	66 match 2 shared topics	Trapped Ion Systems — Offensive AI Security · Applied AI	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
custodianconsulting.co.uk ↗	65 match 2 shared topics	Custodian Consulting — Offensive Security. Defensive Confidence.	GB en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
agent-sec.tech ↗	65 match 2 shared topics	Agent-Sec \| Autonomous Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
adcl-direct.com ↗	65 match 2 shared topics	ADCL — Autonomous Offensive Security	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
adclhq.com ↗	65 match 2 shared topics	ADCL — Autonomous Offensive Security	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
adcl.io ↗	65 match 2 shared topics	ADCL — Autonomous Offensive Security	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
aethercouncil.org ↗	64 match 2 shared topics	AETHER Council \| AI Threat Intelligence Research Institute	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hiline-motorsports.com ↗	64 match 2 shared topics	MDLabCA — Offensive Security, Red Team, Threat Intelligence & AI-Powered Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
aiconfidence-assessment.com ↗	64 match 2 shared topics	AI Confidence – Privacy Checker	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aisecureintegrators.net ↗	64 match 2 shared topics	AI Secure Integrators — AI Security Strategy & Offensive Security Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0eroshot.com ↗	64 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
alshaggah.tech ↗	64 match 2 shared topics	Alshaggah Tech — Mohammad Alshaggah \| Red Team & Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	full · 11
romarsi.com ↗	64 match 2 shared topics	Escape: AI-Powered Offensive Security Platform	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
adamdistefano.ai ↗	64 match 2 shared topics	Adam DiStefano — AI Governance Executive \| Runtime AI Control & Enterprise Security	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
streamnode.ai ↗	64 match 2 shared topics	Streamnode \| See Threats Before They Strike	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentstroy.com ↗	63 match 2 shared topics	Agentstroy — Autonomous Offensive Security Agents \| Autonomous Penetration Testing	en	information-and-network-security	robots llmsaihumans	emailphone	full · 14
kyde.com ↗	63 match 2 shared topics	KYDE — The AI Control Plane.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aicm.app ↗	63 match 2 shared topics	AI Controls Matrix (AICM v1.0.2) - Cloud Security Alliance AI Governance Framework	en	artificial-intelligence	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.