Apple is taking a new approach to AI and privacy with its Private Cloud Compute, which enables private AI processing by integrating private clouds more tightly with custom on-device silicon4. This approach aims to protect user privacy while allowing Apple devices to utilize powerful AI models for tasks such as language understanding and content generation. The system is designed to handle complex AI requests while keeping user data secure and private, even from Apple itself4.
Post-quantum cryptography is a type of encryption that is designed to be secure against attacks by both classical and quantum computers. It focuses on developing cryptographic systems that can withstand the threat posed by super-powerful quantum computers, which could potentially break many of the current encryption methods3. The goal is to create new cryptographic approaches that can be implemented using today's classical computers but will be impervious to attacks from tomorrow's quantum ones. This is achieved by increasing the size of digital keys and creating more complex trapdoor functions that even a very powerful quantum machine would struggle to crack.
PQShield, a cybersecurity company specializing in post-quantum cryptography, recently raised $37 million in Series B funding. The round was led by Addition, with participation from new investors Chevron Technology Ventures, Legal & General, and Braavos Capital, along with existing backer Oxford Science Enterprises3. The funding will be used to expand PQShield's commercial operations and meet the growing demand for quantum-resistant cryptographic solutions in hardware, software, and communications5.