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Lockdown Enterprise STIG and CIS Baseline Automated Remediation — 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
3dtsi.com ↗	68 match 1 shared topics	3D Technology Services \| Enterprise Systems Integration	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
cyber-eye.co.uk ↗	68 match 1 shared topics	CCTV Systems for Enterprise Organisations \| Cyber Eye	United Kingdom en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
binalyze.com ↗	68 match 1 shared topics	Binalyze - Automated Investigation and Incident Response	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
deepnotch.ai ↗	68 match 1 shared topics	Automated Compliance Monitoring & Audit Automation	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
datajuju.com ↗	68 match 1 shared topics	Data Juju - Enterprise Big Data Anonymization Service	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
dpenterprise.co.uk ↗	68 match 1 shared topics	Data Protection Enterprise	United Kingdom en	information-and-network-security	robotsllmsaihumans	email phone	none
oneprotect.io ↗	68 match 1 shared topics	OneProtect \| Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vionsec.com ↗	67 match 1 shared topics	VION Sec \| Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
anhuvi.com ↗	67 match 1 shared topics	Anhuvi - Enterprise Antivirus Solution	en	information-and-network-security	robotsllmsaihumans	emailphone	none
datahawkenterprises.com ↗	67 match 1 shared topics	DataHawk Enterprises	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spydersec.com ↗	67 match 1 shared topics	SPYDERSEC \| Enterprise Cyber Security Consulting	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cssecure.net ↗	67 match 1 shared topics	CS SECURE LIMITED — Enterprise Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
facidprotection.com ↗	67 match 1 shared topics	Facid Protection - Enterprise Online Brand Protection	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
omniidentity.com ↗	67 match 1 shared topics	Omni Identity - Enterprise Biometric Access Control Systems	en	information-and-network-security	robotsllmsaihumans	emailphone	none
enterprisesecuritytech.com ↗	67 match 1 shared topics	Cybersecurity News \| Enterprise Security Tech	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
cybershieldglobal.tech ↗	67 match 1 shared topics	CyberShield \| Enterprise Security Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kavirotech.com ↗	67 match 1 shared topics	Kaviro Tech - DevSecOps Compliance Automation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cuub.ai ↗	67 match 1 shared topics	CUUB.ai — Protect Enterprise Content from Copilots and AI Agents	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.