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SleeperShield | AI Model Cleaning Service — 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
cybpass.com ↗	66 match 2 shared topics	CybPass \| AI Security	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
defendml.com ↗	66 match 2 shared topics	DefendML — Swarm AI Red Team Testing Service	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
preemptics.com ↗	66 match 2 shared topics	Preemptics \| AI Security Testing & Red Teaming Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
demoshield.app ↗	65 match 2 shared topics	Demo Shield \| AI-Powered Data Obfuscation for Live Demos	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
legroupeds.com ↗	65 match 2 shared topics	DS Consortium \| Digital Transformation as a Service	United Arab Emirates~ en	information-and-network-security	robots llms aihumans	emailphone	none
edpo.uk ↗	65 match 2 shared topics	AI, Security and Data Representative Services in the EU	United Kingdom en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
trustguardai.com ↗	65 match 2 shared topics	TrustGuard \| AI for Third-Party Risk	en	information-and-network-security	robotsllmsaihumans	emailphone	none
depsshield.com ↗	65 match 2 shared topics	DepsShield - Security Intelligence for AI Coding Agents	en	information-and-network-security Spree Commerce	robots llmsaihumans	emailphone	none
trydevarmor.com ↗	65 match 2 shared topics	AI-Powered Threat Modeling & Security Design \| DevArmor	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
trustshieldscore.com ↗	65 match 2 shared topics	AgentAIShield — AI Agent Security & LLM Monitoring Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
buzzery.ch ↗	64 match 2 shared topics	DQ0 - Privacy-Preserving Machine Learning	Switzerland en	artificial-intelligence	robotsllmsaihumans	emailphone	none
d-shield.io ↗	64 match 2 shared topics	D-Shield	en	information-and-network-security	robotsllmsaihumans	emailphone	none
360sec.com ↗	64 match 2 shared topics	AI-Powered Cybersecurity Services — MDR, Red Teaming & AI Security Testing \| 360 Security Group	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
a2ashield.cloud ↗	64 match 2 shared topics	A2A Shield — AI Anomaly & Threat Detection API	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ibizdigitalsolutions.com ↗	64 match 2 shared topics	IBIZ Digital Solutions, LLC \| AI · Cybersecurity · Digital Modernization	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
digitalblock.com.br ↗	64 match 2 shared topics	Digital Block, Digital Services	Brazil en	information-and-network-security	robotsllmsaihumans	emailphone	none
cxcheck.app ↗	64 match 2 shared topics	CxCheck \| AI Forensic Commissioning for Data Centers	en	information-and-network-security	robots llmsaihumans	emailphone	none
kalosys.net ↗	64 match 2 shared topics	Kalosys \| AI‑Native IT, Security & Managed IT Services \| North America	en	artificial-intelligence HubSpot	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.