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Obelisk — Next-Generation Firewall for the AI Era — 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
agent57.ai ↗	70 match 1 shared topics	Agent 57 — Identity Protection for the AI Era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpfw.dev ↗	70 match 1 shared topics	mcpfw — The open-source firewall for MCP	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
milgram.dev ↗	70 match 1 shared topics	Milgram \| Personal LLM Firewall for AI Traffic Security	en	information-and-network-security	robots llmsaihumans	emailphone	none
webdrm.com ↗	69 match 1 shared topics	WebDRM.com — Browser Content Protection For The AI Era	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
mcpwall.dev ↗	69 match 1 shared topics	mcpwall — Firewall for MCP Tool Calls	en	information-and-network-security	robotsllmsaihumans	emailphone	none
wavesecurity.io ↗	68 match 1 shared topics	Wave Security — AI DLP & MCP Firewall	en	information-and-network-security	robotsllmsaihumans	emailphone	none
wavesecurity.ai ↗	68 match 1 shared topics	Wave Security — AI DLP & MCP Firewall	en	information-and-network-security	robotsllmsaihumans	emailphone	none
wavecybersecurity.com ↗	68 match 1 shared topics	Wave Security — AI DLP & MCP Firewall	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thewafguy.com ↗	68 match 1 shared topics	WAF Logic: The Web Application Firewall/(D)DoS Connoisseurs	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
sitewall.net ↗	66 match 1 shared topics	SiteWALL Web Application Firewall – Advanced Protection for Websites & Web Applications - sitewall.net	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ovault.io ↗	66 match 1 shared topics	Ovault — The Secure Foundation for Law Enforcement Data	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentsecuritysuite.com ↗	66 match 1 shared topics	ASS \| Agent Security Suite - Runtime Protection for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
advansec.tech ↗	66 match 1 shared topics	Advansec Technologies – Empowering the Next Generation of CISOs	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
agenthita.org ↗	66 match 1 shared topics	Agent Hita — On-Device AI Protection from Digital Manipulation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
singularencryption.com ↗	65 match 1 shared topics	Singular Encryption - Zero-Touch Quantum Protection for the Quantum Era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threlon.com ↗	65 match 1 shared topics	Threlon. Detection engineering for the middle.	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
disinformationcommission.com ↗	65 match 1 shared topics	Disinformation Commission — Narrative Intelligence	en	information-and-network-security	robots llmsaihumans	emailphone	none
boontel.com ↗	65 match 1 shared topics	Boontel — Phone Scam Protection for Seniors & Families	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8

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.