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VybeSafe — Local-first security scanning for AI-generated code — 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
0xclaw.dev ↗	69 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
kovaforge.com ↗	69 match 2 shared topics	KovaForge — Self-Sovereign AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
krakenprobe.com ↗	69 match 2 shared topics	KrakenProbe — AI-Powered Website Security Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
confiserve.com ↗	69 match 2 shared topics	Confiserve — Confidently Serve AI-Generated Code at Enterprise Scale	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
0eroshot.com ↗	68 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ai-security-consultant.ch ↗	67 match 2 shared topics	AI Security Consultant — Automated Cybersecurity for SMEs	Switzerland en	artificial-intelligence	robotsllmsaihumans	emailphone	none
diffsec.dev ↗	67 match 2 shared topics	diff sec — open source AI for product security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
composedsecurity.com ↗	67 match 2 shared topics	Composed Security — Verified product security for AI engineering teams	en	information-and-network-security	robots llmsaihumans	emailphone	none
heyekai.com ↗	67 match 2 shared topics	Ekai CoWork — Secure AI Co-Workers for Cybersecurity Teams	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mdlshield.com ↗	66 match 2 shared topics	MDL Shield — Security Reviews for Moodle™ Plugins	en	information-and-network-security	robotsllmsaihumans	emailphone	none
algorithmicresearchgroup.com ↗	66 match 2 shared topics	Algorithmic Research Group — Open infrastructure for AI security research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
astrix.security ↗	66 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
herdsecurityio.com ↗	66 match 2 shared topics	Herd Security — The AI Creative Platform for Security Training	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	partial · 8
herdsecurity.io ↗	66 match 2 shared topics	Herd Security — The AI Creative Platform for Security Training	en	artificial-intelligence Sanity	robotsllmsaihumans	emailphone	none
2thrivellc.com ↗	66 match 2 shared topics	Cyber Security and AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lampsec.dev ↗	66 match 2 shared topics	LAMPSEC — Autonomous AI Security Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
moonfort.ai ↗	66 match 2 shared topics	AI-Native Workforce Running Enterprise Security \| Moonfort	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
poirotsecurity.com ↗	66 match 2 shared topics	Poirot DSPM — Data Security Posture Management	en	artificial-intelligence	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.