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Scantist | AI Security Suite for Applications & AI Security — 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
astrix.security ↗	70 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
touchmfa.com ↗	69 match 2 shared topics	Browser Security for the AI Era \| Push Security	en	information-and-network-security	robots llmsaihumans	emailphone	none
toplocalapp.com ↗	68 match 2 shared topics	Supernova AI Security \| AI-Powered Camera Security for Schools, Hospitals & Corporate	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thexar.com ↗	68 match 2 shared topics	thexar — AI Security Evaluation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
360sec.com ↗	68 match 2 shared topics	AI-Powered Cybersecurity Services — MDR, Red Teaming & AI Security Testing \| 360 Security Group	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
splx.ai ↗	68 match 2 shared topics	SPLX \| End-to-End Security for AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
spotem.ai ↗	68 match 2 shared topics	AI Security Cameras & Surveillance \| AI CCTV Monitoring Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
1-pro.net ↗	68 match 2 shared topics	1PRO Solutions - AI-Powered Cybersecurity & Innovation \| Enterprise Security Services	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
blackunicorn.tech ↗	68 match 2 shared topics	LLM Security Testing & EU AI Compliance \| Black Unicorn Security	en	information-and-network-security	robots llmsaihumans	emailphone	none
lastprotocol.ai ↗	68 match 2 shared topics	Last Protocol - AI Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackfog.cloud ↗	68 match 2 shared topics	BlackFog AI Security for Data Exfiltration, Shadow AI and Ransomware Prevention	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
fencio.dev ↗	68 match 2 shared topics	Fencio — Runtime Control & AI Security for AI Agents	en	artificial-intelligence	robots llmsaihumans	emailphone	none
lampsec.dev ↗	67 match 2 shared topics	LAMPSEC — Autonomous AI Security Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blinkops.org ↗	67 match 2 shared topics	Agentic Security Operations Platform \| BlinkOps	United States~ en	artificial-intelligence Webflow	robotsllmsaihumans	emailphone	none
acureta.online ↗	67 match 2 shared topics	ACURETA \| Jurisdiction-Aware AI Security	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 1
medullainstitute.org ↗	67 match 2 shared topics	Medulla AI Security Research Institute	United States~ en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
launchprompthalo.com ↗	67 match 2 shared topics	PromptHalo — Real-time AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bahagharilabs.com ↗	67 match 2 shared topics	Bahaghari Labs - AI Security & Development Services	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.