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Technical Safeguards - AI System Accuracy, Robustness & Cybersecurity Compliance — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
childaisafeguards.com ↗	73 match 2 shared topics	Child AI Safeguards - AI Child Safety & Protection Compliance Hub	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
aegixa.tech ↗	70 match 2 shared topics	Aegixa - Cybersecurity for AI Systems	en	information-and-network-security	robots llmsaihumans	emailphone	none
cytex.io ↗	69 match 2 shared topics	Leading Cybersecurity Solutions & Risk Management \| Cytex.io	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
checkcytex.com ↗	69 match 2 shared topics	Leading Cybersecurity Solutions & Risk Management \| Cytex.io	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
drivecytex.com ↗	69 match 2 shared topics	Leading Cybersecurity Solutions & Risk Management \| Cytex.io	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
censuslabs.uk ↗	69 match 2 shared topics	Cybersecurity for AI-driven unmanned systems	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
censuslabs.co.uk ↗	69 match 2 shared topics	Cybersecurity for AI-driven unmanned systems	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
mirayaai.com ↗	69 match 2 shared topics	MirayaAI \| Offensive Cybersecurity Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
stopahack.com ↗	69 match 2 shared topics	StopAHack.com \| Military-Born AI Security & Cybersecurity	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	none
strahinjajanjusevic.com ↗	68 match 2 shared topics	Strahinja Janjusevic \| AI & Cybersecurity Researcher	en	artificial-intelligence	robots llmsaihumans	emailphone	none
ozziegeeks.com ↗	68 match 2 shared topics	Brisbane AI & Cybersecurity for SMBs \| Ozzie Geeks AU NZ	Australia~ en	artificial-intelligence	robotsllmsaihumans	email phone	none
cyberplus.co.uk ↗	68 match 2 shared topics	CyberPlus AI/AR Cybersecurity (Cyber+)	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
cyproglobal.net ↗	68 match 2 shared topics	CyproGlobal — Cybersecurity & AI Security Consulting	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
epcnetwork.co.uk ↗	68 match 2 shared topics	EPC Network \| Cybersecurity & AI Consultancy	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
balcloudsystems.com ↗	68 match 2 shared topics	Bal Cloud Systems — AI Security & EU AI Act Advisory	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
chaostrack.com ↗	68 match 2 shared topics	ChaosTrack \| AI Cybersecurity Preparedness & Response	en	information-and-network-security	robots llmsaihumans	emailphone	none
fusionairre.com ↗	68 match 2 shared topics	FusionAIrre \| AI for Security & Compliance Automation	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
ozzag.com ↗	68 match 2 shared topics	ozzag \| Cyber Security, AI Systems, Secure Architecture	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.