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Deception Check — Catching threats your other tools miss — 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
deceptioncheck.net ↗	100 match 2 shared topics	Deception Check — Catching threats your other tools miss	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deceptioncheck.ai ↗	100 match 2 shared topics	Deception Check — Catching threats your other tools miss	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
destrosolutions.com ↗	67 match 2 shared topics	DestroSolutions — AI Cyber Threat Intelligence Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
syntheticbiosecurity.com ↗	67 match 2 shared topics	BioThreat Corporation — BioThreat.com	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
syntheticbiosystems.com ↗	67 match 2 shared topics	BioThreat Corporation — BioThreat.com	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
axioryx.ai ↗	66 match 2 shared topics	AxioRyx \| AI-Powered Threat Detection & Public Safety Platform \| AxioRyx	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptostronghold.com ↗	65 match 2 shared topics	CryptoStronghold — Free Crypto Scam Checker & AI Tools	en	information-and-network-security	robots llmsaihumans	emailphone	none
syxray.com ↗	65 match 2 shared topics	SyX-RAY — AI Penetration Testing, EDR & Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
detectionflow.com ↗	65 match 2 shared topics	DetectionFlow — See Every Gap in Your Detection Coverage	GB~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
deepdecision.ai ↗	65 match 2 shared topics	Deep Labs \| AI-Powered Threat Intelligence & Cyber Defense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cxcheck.app ↗	65 match 2 shared topics	CxCheck \| AI Forensic Commissioning for Data Centers	en	information-and-network-security	robots llmsaihumans	emailphone	none
axanis.ai ↗	65 match 2 shared topics	Axanis - Your AI Guardian	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
demolition-equipment.com ↗	64 match 2 shared topics	MDLabCA — Offensive Security, Red Team, Threat Intelligence & AI-Powered Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
havalon.ai ↗	64 match 2 shared topics	HAVALON — Insider Threat, Understood.	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
helloalpha.ai ↗	64 match 2 shared topics	Is This a Scam? Free AI Scam Detector & Checker Tool	en	information-and-network-security	robots llmsaihumans	emailphone	none
autovapt.ai ↗	64 match 2 shared topics	AutoVAPT.ai — Autonomous Penetration Testing Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
cybersecurityexpert.co.uk ↗	64 match 2 shared topics	Cybersecurity Assurance Tools \| Provable Cyber Resilience — David Whitelegg	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
itsecurityexpert.co.uk ↗	64 match 2 shared topics	Cybersecurity Assurance Tools \| Provable Cyber Resilience — David Whitelegg	GB 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.