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TachTech Labs | Agentic AI for Security Ops — 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
useskypher.com ↗	75 match 2 shared topics	Skypher \| Agentic AI for Security Portals & Questionnaires	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
azaro.io ↗	72 match 2 shared topics	Azaro \| Coordination for Security Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dreadnode.biz ↗	71 match 2 shared topics	Dreadnode — AI Infrastructure for Security Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
averta.io ↗	71 match 2 shared topics	Agentic AI Security: The AI Agent Operating System \| Averta	en	information-and-network-security	robots llmsaihumans	emailphone	none
swimlane.ai ↗	71 match 2 shared topics	Swimlane: Agentic AI Security Automation, Hyperautomation, SOC Automation	US~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
swimlane.com ↗	71 match 2 shared topics	Swimlane: Agentic AI Security Automation, Hyperautomation, SOC Automation	US~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
cyberlab.biz ↗	71 match 2 shared topics	CyberLab — AI Security Research Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
absentfaith.com ↗	71 match 2 shared topics	AgenticSOC: AI-Driven Security Operations	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
a3t.ai ↗	70 match 2 shared topics	Agent Three — The AI Platform Built for Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
a3t.dev ↗	70 match 2 shared topics	Agent Three — The AI Platform Built for Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
2thrivellc.com ↗	70 match 2 shared topics	Cyber Security and AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
urgentic.ai ↗	70 match 2 shared topics	urgentic — Autonomous Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
use-saltsecurity.com ↗	70 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
salt-securitydirect.com ↗	70 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
salt-securityhq.com ↗	70 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
salt-securityteam.com ↗	70 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
saltsecurity.io ↗	70 match 2 shared topics	Salt Security: Agentic AI Security, MCP Discovery, and API Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
useterrasecurity.com ↗	70 match 2 shared topics	Agentic Offensive Security Platform \| Terra Security	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.