Media Coverage
Media Coverage
External validation and community recognition of ZYBER's approach to private AI infrastructure.
Press & Publications
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Featured Coverage
Coming soon
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Community Recognition
Developer Community
Feedback from developers who understand the security implications of AI-assisted coding:
"Finally someone addressing the elephant in the room—we're all running AI-generated code we barely understand on machines with our wallets." — Developer community feedback
"The vibecoding security problem is real. This is the right architectural approach." — Web3 developer feedback
Web3 Community
Recognition from users who understand both crypto security and AI risks:
"Web3-native authentication + isolated execution = actually private AI." — Community member
"No email, no cards, no local execution. This is how AI should work." — Crypto security researcher
Industry Context
ZYBER's approach aligns with growing industry recognition of AI security risks:
Relevant Industry Reports
AI Code Security
Majority of developers run AI-generated code without full review
Supply Chain Attacks
npm/PyPI package compromise incidents increasing yearly
AI Privacy
Users increasingly concerned about conversation data retention
Vibecoding Risks
Security researchers warning about dependency installation patterns
Security Researcher Commentary
Security professionals have highlighted the exact problems ZYBER addresses:
Local execution risks from AI-generated code
Dependency supply chain vulnerabilities
Identity correlation through AI platform usage
Payment data exposure from subscription models
Social Proof
Platform Metrics
Early access signups
Growing
Developer waitlist
Active
Community members
Expanding
User Testimonials
Testimonials from early users will be added as the platform launches.
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