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SyX-RAY — AI Penetration Testing, EDR & Threat Intelligence — 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
autovapt.ai ↗	72 match 2 shared topics	AutoVAPT.ai — Autonomous Penetration Testing Platform	en	information-and-network-security	robots llmsaihumans	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
cybershield.cafe ↗	70 match 2 shared topics	Sentient QuantumShield — AI-Powered Security Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deepdecision.ai ↗	70 match 2 shared topics	Deep Labs \| AI-Powered Threat Intelligence & Cyber Defense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
elttam.com.au ↗	70 match 2 shared topics	elttam \| Expert‑Led, AI‑Augmented Penetration Testing	AU en	information-and-network-security	robotsllmsaihumans	emailphone	none
pivotgg.com ↗	70 match 2 shared topics	Pivot.GG - AI-Powered Threat Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
faultlinesec.com ↗	70 match 2 shared topics	Penetration testing & AI red teaming for startups	PT~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
casaba.com ↗	70 match 2 shared topics	AI Security Testing & Penetration Testing Firm \| Casaba Security	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
demolition-equipment.com ↗	70 match 2 shared topics	MDLabCA — Offensive Security, Red Team, Threat Intelligence & AI-Powered Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cybherfence.com ↗	69 match 2 shared topics	Cybherfence — AI Readiness Intelligence for Emerging Markets	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hashvia.com ↗	69 match 2 shared topics	Hashvia — Device & Risk Intelligence \| AI Fingerprinting + JA3/JA4	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3rdpartytech.com ↗	68 match 2 shared topics	Sentinel \| Sovereign AI/OSINT Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
a2ashield.cloud ↗	68 match 2 shared topics	A2A Shield — AI Anomaly & Threat Detection API	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
pivotsec.io ↗	68 match 2 shared topics	Pivot Security — AI-Powered Android Pentesting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hashmon.com ↗	68 match 2 shared topics	Hashmon \| AI-Powered Background Checks & Risk Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cyber.airforce ↗	68 match 2 shared topics	SecurityPilot — Agentic GRC Intelligence	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	partial · 8
deltabridge.io ↗	67 match 2 shared topics	Deltabridge \| Intelligence. On Demand.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aegis-comply.com ↗	67 match 2 shared topics	AegisComply — AI-Powered Compliance & Security Intelligence	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.