NeuroCrypt: A Neuro Symbolic AI Ecosystem for Advanced Cryptographic Data Security and Transmission

In response to the critical vulnerabilities exposed by quantum computing and AI-driven cryptanalysis in traditional encryption systems, this paper introduces NeuroCrypt—a neuro-symbolic AI framework that synergizes adaptive cryptography, decentralized governance, and post-quantum security. NeuroCrypt employs three AI groups: CryptAI (multi-algorithm encryption), GenAI (neuro-symbolic algorithm synthesis), and TestAI (adversarial validation), to dynamically generate and deploy quantum-resistant cryptographic techniques. The framework uniquely combines five-layer encryption (randomly ordered classical and AI-generated algorithms, e.g., lattice-chaotic hybrids) with metadata-driven security, where encrypted logic is distributed via Shamir’s Secret Sharing (SSS) over VPNs, eliminating key-exchange dependencies. A permissioned blockchain enforces tamper-proof updates validated by TestAI consensus (n/2+1 threshold), while dynamic threshold adaptation adjusts SSS shard requirements based on real-time threat levels. Evaluations demonstrate NeuroCrypt’s superiority: 2.3× higher entropy than AES-256, 94.3% shard survival under 30% compromise, and 220 ms encryption latency for 1 MB data on edge devices. The system’s lattice-based encryption (1024-dimensional) and frequent AI-driven updates resist Shor/Grover attacks, validated through simulated quantum oracles achieving $\mathcal{O}$(10³⁸) operations for 256-bit keys. Compliance with GDPR, NIST PQC, and FIPS 140-2 ensures readiness for healthcare, fintech, and government applications. NeuroCrypt’s architecture—backwardcompatible with legacy systems and optimized for IoT/cloud ecosystems—sets a precedent for self-evolving security, offering a 15% storage overhead trade-off for metadata-driven keyless decryption. Future work will optimize edge-device performance and integrate 6G network protocols, establishing NeuroCrypt as a foundational framework for post-quantum cybersecurity.