VRAIN develops artificial intelligence solutions that enhance cybersecurity and protect privacy in an increasingly connected digital world. Our research addresses security challenges from two complementary perspectives: applying AI to strengthen security systems, and ensuring that AI systems themselves are secure, trustworthy, and privacy-preserving.

Our work encompasses the design of cryptographic protocols, formal verification of security properties, development of privacy-preserving AI systems, and analysis of adversarial attacks on machine learning models. We apply computational logic and automated reasoning to prove security guarantees, including research on post-quantum cryptographic protocols that will remain secure against future quantum computing threats. Our electronic voting systems and access control mechanisms demonstrate how AI can enable secure democratic participation and data protection.

VRAIN's security research extends to critical sectors including healthcare, transportation, and industrial systems, where we develop intelligent security monitoring, risk analysis platforms, and privacy advisory systems. Our approach combines symbolic AI methods for formal security guarantees with machine learning techniques for threat detection, creating solutions that are both theoretically sound and practically effective in protecting sensitive systems and personal data.