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AI Security Testing & Penetration Testing Firm | Casaba Security — 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
faultlinesec.com ↗	73 match 2 shared topics	Penetration testing & AI red teaming for startups	PT~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
devsec-agent.com ↗	72 match 2 shared topics	DevSec Agent — Autonomous AI Penetration Testing	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
usecascoai.com ↗	72 match 2 shared topics	Autonomous Security Testing for Modern Applications \| Casco	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
casco.com ↗	72 match 2 shared topics	Autonomous Security Testing for Modern Applications \| Casco	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
cascohq.com ↗	72 match 2 shared topics	Autonomous Security Testing for Modern Applications \| Casco	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
cybersage.solutions ↗	72 match 2 shared topics	CyberSage \| AI-Powered Penetration Testing in Ireland	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 6
synack.com ↗	72 match 2 shared topics	Penetration Testing Company \| Synack PTaaS Platform	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
synackredteam.com ↗	72 match 2 shared topics	Penetration Testing Company \| Synack PTaaS Platform	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
autovapt.ai ↗	71 match 2 shared topics	AutoVAPT.ai — Autonomous Penetration Testing Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
360sec.com ↗	71 match 2 shared topics	AI-Powered Cybersecurity Services — MDR, Red Teaming & AI Security Testing \| 360 Security Group	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xclaw.dev ↗	70 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
pivotsec.io ↗	70 match 2 shared topics	Pivot Security — AI-Powered Android Pentesting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
detectify.com ↗	70 match 2 shared topics	Application security testing reimagined \| Detectify	en	information-and-network-security	robotsllmsaihumans	emailphone	none
syxray.com ↗	70 match 2 shared topics	SyX-RAY — AI Penetration Testing, EDR & Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
harvestrangelabs.com ↗	69 match 2 shared topics	Harvest Range Labs — Adversary Simulation & Security Testing	en	information-and-network-security	robots llmsaihumans	emailphone	full · 10
useterrasecurity.com ↗	69 match 2 shared topics	Agentic Offensive Security Platform \| Terra Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
faltroxsecurity.com ↗	69 match 2 shared topics	Faltrox Security \| AI-Powered Cybersecurity Services	IN~ en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
acecyberconsult.com ↗	69 match 2 shared topics	Acelogic Cyber Consulting LLC \| Security Reviews, Reverse Engineering & AI 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.