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Data residency and AI data protection - InCountry AgentCloak — 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
cortexprotect.com ↗	67 match 2 shared topics	Cortex Protect — XDR & SIEM for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sanitized.ai ↗	67 match 2 shared topics	Sanitized Ai - Shadow AI Detection & PII Protection for Enterprises	Canada~ en	information-and-network-security	robots llmsaihumans	emailphone	none
2thrivellc.com ↗	66 match 2 shared topics	Cyber Security and AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
meetaembitteam.org ↗	66 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
meetaembit.org ↗	66 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
dataofficer.eu ↗	66 match 2 shared topics	Dataofficer.eu: all-in-on data oversight for EU data regulations	European Union en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
sanitai.io ↗	65 match 2 shared topics	sanitai \| AI data privacy, PII masking, and secure RAG for industrial teams	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
cordialabs.io ↗	65 match 2 shared topics	LetsPing \| Secure your AI agents. Firewall, HITL and agent identity.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
corelayersecurity.com ↗	65 match 2 shared topics	CoreLayer Security - AI Security Platform \| Full Lifecycle LLM Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mdr-guardians.digital ↗	65 match 2 shared topics	Sophos MDR \| 24/7 Managed Detection & Response \| Agentic SOC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mdr-guardians.io ↗	65 match 2 shared topics	Sophos MDR \| 24/7 Managed Detection & Response \| Agentic SOC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mdrguardians.app ↗	65 match 2 shared topics	Sophos MDR \| 24/7 Managed Detection & Response \| Agentic SOC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mdrguardians.io ↗	65 match 2 shared topics	Sophos MDR \| 24/7 Managed Detection & Response \| Agentic SOC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
badgeprotect.com ↗	65 match 2 shared topics	VirtualBadge Fraud Shield - AI-Powered Brand Protection	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aclasa.pro ↗	65 match 2 shared topics	ACLASA \| Data processing and analytical services for high-trust work	en	information-and-network-security	robotsllmsaihumans	emailphone	none
astrix.security ↗	65 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
blacksight.ai ↗	65 match 2 shared topics	AI Data Loss Prevention \| Blacksight AI	en	information-and-network-security	robots llmsaihumans	emailphone	none
incode.com ↗	65 match 2 shared topics	AI-powered Identity Verification \| Incode	en	information-and-network-security	robots llmsaihumans	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.