Brief

An experienced ASIC designer reflects on the significant differences between academic and industry chip design, highlighting the shift from demonstrating novel concepts to ensuring reliable, scalable, and on-schedule production. The author notes that industry prioritizes risk minimization and proven solutions, contrasting with academia's exploration of unproven territory. This divergence has widened with advanced technologies like FinFET and chiplets, increasing development costs and complexity. AI

Organizations must prepare for the advent of post-quantum cryptography, as quantum computers capable of breaking current encryption are on the horizon. While NIST has released initial standards, migrating systems requires a strategic approach. Key steps include classifying data by its confidentiality lifespan, centralizing visibility of cryptographic assets, and automating the discovery of legacy encryption. Leveraging AI can accelerate risk assessment and prioritization, while strengthening end-to-end encryption practices and building in multiple verification options are crucial for future security. AI