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Doppler | Secrets management for humans and AI agents — 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
doppler.net ↗	100 match 3 shared topics	Doppler \| Secrets management for humans and AI agents	en	information-and-network-security Sanity	robotsllmsaihumans	emailphone	none
dopplersecrets.net ↗	100 match 3 shared topics	Doppler \| Secrets management for humans and AI agents	en	information-and-network-security Sanity	robotsllmsaihumans	emailphone	none
dopplersecrets.org ↗	100 match 3 shared topics	Doppler \| Secrets management for humans and AI agents	en	information-and-network-security Sanity	robotsllmsaihumans	emailphone	none
staex.io ↗	64 match 3 shared topics	Staex — Cryptographically Secure Agentic Suite \| AI Agents with End-to-End Encryption	Germany~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
datrixone.com ↗	63 match 3 shared topics	DatrixOne - AI-Powered Security & Compliance	en	software-and-applications	robotsllmsaihumans	emailphone	none
hello-klaro.com ↗	63 match 3 shared topics	Klaro: Your Compliance & Risk AI	en	information-and-network-security	robotsllmsaihumans	emailphone	none
grip.security ↗	63 match 3 shared topics	Grip Security \| Complete SaaS + AI Control	en	information-and-network-security	robotsllmsaihumans	emailphone	none
repoready.app ↗	63 match 3 shared topics	RepoReady — GitHub Launch Audit for AI-Built Apps	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
anonymo.io ↗	63 match 3 shared topics	Anonymo — Anonymize documents for AI. Zero cloud. Swiss made.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
darkcov.com ↗	63 match 3 shared topics	DarkCov - Private Systems, Device OS, Applied Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
startcompliancecow.com ↗	63 match 3 shared topics	ComplianceCow \| Agentic GRC Middleware	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
designright.ai ↗	62 match 3 shared topics	Security System Design Software \| AI Proposals & Estimates \| DesignRight.ai	United States~ en	software-and-applications	robotsllmsaihumans	emailphone	full · 13
designright.io ↗	62 match 3 shared topics	Security System Design Software \| AI Proposals & Estimates \| DesignRight.ai	United States~ en	software-and-applications	robotsllmsaihumans	emailphone	none
heeler.com ↗	62 match 3 shared topics	Heeler - Remediation Platform for Open Source Risk	en	information-and-network-security	robotsllmsaihumans	emailphone	none
remediator.io ↗	62 match 3 shared topics	Remediator — Your code regenerates.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
anonyva.com ↗	62 match 3 shared topics	Anonyva - AI-Powered Data Anonymization Software	en	information-and-network-security	robotsllmsaihumans	emailphone	none
anorthiclabs.com ↗	62 match 3 shared topics	AI-Enabled Software Engineering & Security - Anorthic Labs	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
datatheorem.com ↗	62 match 3 shared topics	Data Theorem \| AppSec \| API Security \| Cloud Security	en	information-and-network-security DatoCMS	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.