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AgenticSOC: AI-Driven Security Operations — 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
intruex.com ↗	74 match 2 shared topics	Intruex \| AI-Powered Security Operations	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
astreoninnovations.com ↗	71 match 2 shared topics	Astreon Innovations \| AI-Powered Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nemosyder.com ↗	71 match 2 shared topics	Security Operations Platform \| NemoSyder	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
intraqa.com ↗	70 match 2 shared topics	Software Testing, QA Automation & Security AI-Driven Quality	en	information-and-network-security	robotsllmsaihumans	emailphone	none
esntr.net ↗	70 match 2 shared topics	Managed Detection and Response Services & Security Operations Platform \| eSentire	en	information-and-network-security	robots llmsaihumans	email phone	partial · 9
esentire.org ↗	70 match 2 shared topics	Managed Detection and Response Services & Security Operations Platform \| eSentire	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 9
ericfleming.ai ↗	70 match 2 shared topics	Eric Fleming \| Security + AI Operator	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
liveviewtech.com ↗	70 match 2 shared topics	AI-Driven Mobile Security for Every Threat \| LVT	en	artificial-intelligence Webflow	robots llmsaihumans	emailphone	none
sitetec-tel.com ↗	69 match 2 shared topics	Tec-Tel \| AI Security Integration for Multi-Site Operators	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
garlandfox.com ↗	69 match 2 shared topics	AI-driven cybersecurity solutions \| garlandfox.com - Advancing Cybersecurity Through AI-Powered Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
votal.ai ↗	69 match 2 shared topics	Runtime Security Platform for Agentic AI \| Votal AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
42crunch.com ↗	69 match 2 shared topics	Automate API Security across Agentic Workflows	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
volkankutal.com ↗	69 match 2 shared topics	Volkan Kutal - Agentic AI Red Teaming & Security Validation	Germany~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
astvlive.com ↗	69 match 2 shared topics	Dark Asura - AI Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dosonet.com ↗	69 match 2 shared topics	DosoNet \| AI-Powered Information Security Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cavexia.ai ↗	68 match 2 shared topics	Cavexia — Security for the agentic stack	United States~ en	information-and-network-security	robots llms ai humans	emailphone	none
cavexia.com ↗	68 match 2 shared topics	Cavexia — Security for the agentic stack	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
1pw.ai ↗	68 match 2 shared topics	1PW.AI \| Enterprise Password Security & Bitcoin Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8

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.