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Splunk | Unified Security & Observability for Digital Resilience — 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
assetdiscovery.app ↗	80 match 2 shared topics	Splunk \| Unified Security & Observability for Digital Resilience	United States~ en	cloud-computing Adobe Experience Manager	robotsllmsaihumans	emailphone	none
assetintelligence.io ↗	80 match 2 shared topics	Splunk \| Unified Security & Observability for Digital Resilience	United States~ en	cloud-computing Adobe Experience Manager	robotsllmsaihumans	emailphone	none
cspm.io ↗	65 match 3 shared topics	CSPM.io — AI-Powered Cloud Security Posture Management for AWS, GCP & Azure	en	artificial-intelligence	robots llmsaihumans	emailphone	none
astravix.com ↗	63 match 3 shared topics	Astravix \| AI, Cybersecurity, Cloud & DevOps	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
4pertech.com ↗	61 match 3 shared topics	4PerTech Inc.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ccnl.cloud ↗	60 match 3 shared topics	Astro Basics	en	cloud-computing	robotsllmsaihumans	emailphone	none
centrifical.ai ↗	52 match 2 shared topics	Centrifical — Autonomous Security & Observability for Distributed Systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mcpmanager.ai ↗	50 match 2 shared topics	MCP Manager - MCP Gateway: Security, Deployment, & Observability	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
quantumdefend.ai ↗	50 match 2 shared topics	QuantumDefend - AI Security, Observability & Sustainability Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
quarterlydigestjournal.com ↗	50 match 2 shared topics	WorldSafe — Physical Security & Resilience	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cxo11y.com ↗	49 match 2 shared topics	CX Observability for Cloud Contact Centers \| Operata	Australia~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cxobservability.com ↗	49 match 2 shared topics	CX Observability for Cloud Contact Centers \| Operata	Australia~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cxobservability.io ↗	49 match 2 shared topics	CX Observability for Cloud Contact Centers \| Operata	Australia~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cxobservability.net ↗	49 match 2 shared topics	CX Observability for Cloud Contact Centers \| Operata	Australia~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
milagroit.com ↗	49 match 2 shared topics	MilagroIT — Enterprise cloud, observability & security	en	cloud-computing	robotsllmsaihumans	emailphone	none
sharesquareshift.com ↗	48 match 2 shared topics	SquareShift \| AI-Driven Cloud, Data & Digital Solutions Company \| Data Analytics & Observability Experts	en	artificial-intelligence Wix	robotsllmsaihumans	emailphone	none
phezuluglobal.com ↗	48 match 2 shared topics	Phezulu Global Technology \| Resilient Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
guard-api.com ↗	48 match 2 shared topics	GuardAPI \| AI Security & Vulnerability Fixes	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.