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About Rosario Cybernetics

Rosario Cybernetics is a leading research laboratory specializing in cybersecurity, artificial intelligence safety, and cryptography. Founded by experts in quantum physics, cryptography, and cognitive science, we develop breakthrough technologies that eliminate passwords and create safe AI systems for businesses and government agencies.

Who We Are

Founded in 2023 by Dylan Rosario and a team of world-class advisors from leading universities and technology companies, Rosario Cybernetics focuses on eliminating the vulnerabilities of traditional authentication through innovative cybersecurity technologies.

Research Focus

We develop breakthrough cybersecurity technologies that eliminate passwords and traditional authentication methods. Our research creates secure systems that don't store secrets, making them impossible to hack through data breaches.

Our current program develops password-free authentication and complete audit trails that avoid storing persistent secrets while providing military-grade security.

Mission

Rosario Cybernetics is reinventing cybersecurity for a secure world through our breakthrough technology platform.

Today's authentication methods—passwords, MFA, passkeys, and biometrics—are either insecure, inconvenient, or both. Our system eliminates static credentials entirely while providing superior security.

Principal Investigator: Frank Dylan Rosario

Researcher in Cryptography, Cybernetics, and AI Safety

Frank Dylan Rosario leads the lab. His work spans cybersecurity research, human-friendly authentication systems, and AI safety. Public code and research notes appear under the repository name soltrinox.

Foundations & Publications

Ongoing research on password-free authentication, human-friendly security systems, and quantum-proof encryption without relying on complex mathematical problems.

Research repositories and prototypes are available under soltrinox.

Current Research Focus

Human-friendly security: authentication systems that work with human memory and behavior patterns.

Complete audit trails: permanent, tamper-proof records of all authentication events.

AI system security: secure authentication and control for autonomous AI systems.

Program Direction
Research protocols emphasizing human-friendly security, complete audit trails, and transparent operations; focus on publishable specifications and reproducible evaluation.

Technology Foundations

Information-Theoretic Security
Security is mathematically proven, not reliant on computational difficulty. Our systems are designed to be secure even against future quantum computers.
Quantum Mechanics
Uses true quantum entropy for cryptographic processes. Any eavesdropping attempt is physically detectable through quantum mechanics.
Cognitive Psychology
Leverages the human brain's natural ability to perceive patterns and remember information, making the user's mind part of the security system.
Abstract Mathematics
Employs advanced mathematical concepts and high-dimensional spaces for creating secure, human-friendly authentication systems.

Team & Advisors

Founders

Dylan Rosario – Researcher and Inventor in Cybernetic Systems; 30 Year Computer Scientist Veteran and Alumni of IBM, Microsoft, Oracle, and Samsung

Dr. Lin Wang – Duke University; Quantum Physics, Signals, & Cryptography; United States Navy Research & Development; Samsung

Advisors/Researchers

Romina Bungert – CEO; Eni6ma Co. Operating Company

Dr. Francisco Perez-Sorrosal – Yahoo Inc.

Dr. Dawn Lipscomb – University California Berkeley; Quantum Physics

Dr. Anish Mohammad – MIT; Mathematics & Cryptography; Panther Protocol; ZKP Coin

Dr. Dan Boneh – Stanford University; Director of Cryptography

Dr. Octavia Sulea, PhD – PARC, SRI, AI/LLM Researcher

Evan Keegan – NY, Biz Dev Executive Management

Karim Sobati – US Navy Nuclear Programme, TESC, NJ

Steven Echtman – University Buffalo; AiIfy.io

Greg Jones – Google X, McKinsey, Wharton Biz School

Samson Yeung – Stripe; Google; University Calif. Santa Cruz

Chris Beltran – Product Design, Berkeley

David Berger – Harvard; Integra Ledger

Avkash (Kash) Chauhan – GP @ WeTogether Ventures, xMicrosoft, xH2O.ai

Louis Lau – Stanford University; PhD Candidate; Mathematics/Cryptography

Salim Masmoudi – Université Savoie Mont Blanc; MS - Computer Science

Dwayne Reddick – Technologist; Soundmind Fellowship

Julian Rocha – Berkeley; Nurrl; Artificial Intelligence Alignment

Ross Raffin – Stanford University

Further Reading

Research Documentation

Explore our comprehensive research documentation and technical specifications: