Securing the 'Data-in-Use' Gap: The Next Frontier for AI Privacy

Standard encryption fails during the AI inference stage, leaving sensitive data exposed in memory while being processed. This guide explores how advanced cryptographic layers like Homomorphic Encryption and Post-Quantum Cryptography are becoming essential to protect proprietary models and user privacy against emerging quantum and adversarial threats.