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Browser Security for the AI Era | Push 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 ↗	71 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
splx.ai ↗	70 match 2 shared topics	SPLX \| End-to-End Security for AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cryptonqr.com ↗	69 match 2 shared topics	CryptonQR — Trust Infrastructure for the AI Era	en	information-and-network-security Paddle	robotsllmsaihumans	emailphone	none
corelayersecurity.com ↗	69 match 2 shared topics	CoreLayer Security - AI Security Platform \| Full Lifecycle LLM Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2thrivellc.com ↗	69 match 2 shared topics	Cyber Security and AI Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xclaw.dev ↗	68 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
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
spnt.io ↗	68 match 2 shared topics	SPNT — The Unified Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 6
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
blindsight.io ↗	68 match 2 shared topics	Blindsight, Runtime Security for AI	Switzerland~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
fendray.com ↗	68 match 2 shared topics	Fendray \| The agent security platform	en	information-and-network-security	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
365architect.com ↗	68 match 2 shared topics	Securing Enterprise Architecture in the AI Era \| 365 Architect	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
fenrair.com ↗	67 match 2 shared topics	FenrAIr - Enterprise AI Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thewhiteweb.com ↗	67 match 2 shared topics	The White Web - Enterprise-First Trust Layer for the AI Era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1-pro.net ↗	67 match 2 shared topics	1PRO Solutions - AI-Powered Cybersecurity & Innovation \| Enterprise Security Services	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
blackmatterdefense.com ↗	67 match 2 shared topics	Black Matter Defense — Enterprise AI Security Consultancy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneseccurepipeline.com ↗	67 match 2 shared topics	SecurePipeline - Predictable Pipeline for Cybersecurity Firms	en	information-and-network-security	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.