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Seyonis alternatives & similar sites

Seyonis — Next-Generation Security for the Modern Enterprise — 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
agenticsecurity.ai ↗	74 match 2 shared topics	Security for the Agentic Enterprise	en	artificial-intelligence Wix	robots llmsaihumans	emailphone	none
5thsphere.com ↗	73 match 2 shared topics	5th Sphere \| Next-Generation AI Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agenticgate.io ↗	72 match 2 shared topics	Agentic Gate - Enterprise Security for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gaitwai.io ↗	72 match 2 shared topics	Gaitwai — AI Security Gateway for the Enterprise	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
threelawssecurity.com ↗	72 match 2 shared topics	Enterprise AI Security - 3LS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
avepoint.com ↗	71 match 2 shared topics	AI-Ready Data Security & Governance for Enterprise \| AvePoint	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
devsecai.io ↗	71 match 2 shared topics	DevSecAI — Security for AI-Generated Code	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1pw.ai ↗	71 match 2 shared topics	1PW.AI \| Enterprise Password Security & Bitcoin Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
detectionlabs.io ↗	70 match 2 shared topics	Detection Labs — AI Attack Surface Detection for the Enterprise	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oxvault.dev ↗	70 match 2 shared topics	Oxvault — AI Supply Chain Security for the Agentic Era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sisa.ai ↗	69 match 2 shared topics	AI-Powered Cybersecurity Solutions & Services For Enterprises \| SISA	India~ en	information-and-network-security	robotsllmsaihumans	email phone	none
jane-foundation.org ↗	69 match 2 shared topics	Jane Foundation \| Cybersecurity Stewardship for the Vulnerable	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
overwatchtechnologies.ai ↗	69 match 2 shared topics	Overwatch: Australian Autonomous Systems for Next-Generation Intelligence & Security	en	artificial-intelligence Squarespace Magento	robotsllmsaihumans	emailphone	partial · 8
jaredlog.com ↗	69 match 2 shared topics	Jared Evans — Information Security & AI Practice	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentslocked.com ↗	69 match 2 shared topics	Agents Locked — Security for Vibe Coders	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agenticsoc.net ↗	69 match 2 shared topics	AgenticSOC: AI-Driven Security Operations	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ai-vets.com ↗	69 match 2 shared topics	Secure Digital Transformation for Enterprise Businesses \| AI-Vets	en	information-and-network-security 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.