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depthfirst | Autonomous Security from Design to Production — 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
depthfirst.com ↗	100 match 2 shared topics	depthfirst \| Autonomous Security from Design to Production	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
usestrix.com ↗	74 match 2 shared topics	Strix - Autonomous Security for the AI Era	en	artificial-intelligence	robots llmsaihumans	emailphone	none
urgentic.ai ↗	71 match 2 shared topics	urgentic — Autonomous Security Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
direct-adcl.com ↗	70 match 2 shared topics	ADCL — Autonomous Offensive Security	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
adclteam.com ↗	70 match 2 shared topics	ADCL — Autonomous Offensive Security	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
usecascoai.com ↗	70 match 2 shared topics	Autonomous Security Testing for Modern Applications \| Casco	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
casco.com ↗	70 match 2 shared topics	Autonomous Security Testing for Modern Applications \| Casco	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
cascohq.com ↗	70 match 2 shared topics	Autonomous Security Testing for Modern Applications \| Casco	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
hashmarksecurity.com ↗	68 match 2 shared topics	HashMark Security \| AI-Powered Privacy Compliance for Developers	en	information-and-network-security	robotsllmsaihumans	emailphone	none
autovapt.ai ↗	68 match 2 shared topics	AutoVAPT.ai — Autonomous Penetration Testing Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
syberops.com ↗	68 match 2 shared topics	SyberOps — Notes from the autonomous SOC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
useartemis.ai ↗	68 match 2 shared topics	Artemis Security \| AI-Native Protection Platform for Modern SecOps	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
usehunto.com ↗	68 match 2 shared topics	Autonomous AI Agents for Cybersecurity \| Hunto AI	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
useqevlar.com ↗	67 match 2 shared topics	Qevlar AI \| Autonomous SOC Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
useqevlarai.com ↗	67 match 2 shared topics	Qevlar AI \| Autonomous SOC Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cybersymbioticsecurity.org ↗	67 match 2 shared topics	Symbiotic Security - End to End security for AI coding	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
symbiotic-security.app ↗	67 match 2 shared topics	Symbiotic Security - End to End security for AI coding	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
symbioticsecurityai.com ↗	67 match 2 shared topics	Symbiotic Security - End to End security for AI coding	US~ 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.