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Void Run alternatives & similar sites

VoidRun | Secure Sandboxes for Developers and AI Agents | VoidRun — 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
pagerops.org ↗	63 match 3 shared topics	Splunk \| Unified Security & Observability for Digital Resilience	United States~ en	artificial-intelligence Adobe Experience Manager	robotsllmsaihumans	emailphone	none
pagerops.net ↗	63 match 3 shared topics	Splunk \| Unified Security & Observability for Digital Resilience	United States~ en	artificial-intelligence Adobe Experience Manager	robotsllmsaihumans	emailphone	none
pagerops.info ↗	63 match 3 shared topics	Splunk \| Unified Security & Observability for Digital Resilience	United States~ en	artificial-intelligence Adobe Experience Manager	robotsllmsaihumans	emailphone	none
shuffle-on.com ↗	63 match 3 shared topics	Shuffle-On — Self-Hosted AI & Security Infrastructure by Lișneanu Dumitru-Cristian (Cristian Lisneanu)	Romania~ en	cloud-computing	robotsllmsaihumans	emailphone	none
paladincloud.io ↗	61 match 3 shared topics	Paladin Cloud: AI-Powered Prioritization Engine	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
kraph.com ↗	50 match 2 shared topics	kraph • The full stack cloud for AI agents and developers	en	cloud-computing	robots llmsaihumans	emailphone	partial · 8
alertd.ai ↗	48 match 2 shared topics	AI Agents for AWS Cost, Security & Compliance \| AlertD	en	cloud-computing	robotsllmsaihumans	emailphone	none
mcptrail.com ↗	48 match 2 shared topics	MCP firewall & security gateway for AI agents \| MCP Trail	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
astrix.security ↗	48 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
owlshield.ai ↗	48 match 2 shared topics	OwlShield - Secure Your AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
layerv.ai ↗	47 match 2 shared topics	qURL: The Universal Access Layer for Humans and AI Agents	United States~ en	artificial-intelligence	robots llmsaihumans	emailphone	none
letsping.co ↗	47 match 2 shared topics	LetsPing \| Secure your AI agents. Firewall, HITL and agent identity.	Colombia en	information-and-network-security	robots llmsaihumans	emailphone	none
hidenai.com ↗	47 match 2 shared topics	HidenAI - Cloudy AI for Developers \| Claude Code Integration	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
pad.dev ↗	47 match 2 shared topics	Pad / Cloud runtimes for agentic development	en	artificial-intelligence	robots llmsaihumans	emailphone	none
hermeticbox.com ↗	47 match 2 shared topics	HermeticBox - Air-Gapped Python Sandbox for LLM Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
postalzero.dev ↗	47 match 2 shared topics	Postal Zero — Permanent Address for People and AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
heyclarm.com ↗	47 match 2 shared topics	Clarm - Governed AI agents for regulated teams	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
polyrize.com ↗	47 match 2 shared topics	Varonis \| Leader in Data and AI Security. For Cloud, SaaS and On-Prem	en	information-and-network-security 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.