Many digital systems today are built with short innovation cycles in mind. Yet, the data they handle often needs to remain secure and trustworthy for decades. This gap between system lifespan and security assumptions grows more critical as artificial intelligence and quantum computing technologies advance. Preparing AI infrastructure to withstand these changes requires a fresh approach one that focuses on long-term durability and adaptability. This post explores long-horizon

Artificial intelligence systems today face growing challenges in protecting sensitive data and ensuring long-term trustworthiness. At the same time, the rise of quantum computing introduces new risks and opportunities that demand fresh approaches to security. Designing AI execution environments that remain secure and reliable in a quantum-aware world is critical for the future of technology. This post explores how secure execution layers can be built to support AI workloads w

Cybersecurity faces a turning point. Traditional encryption methods rely on legacy key sizes and systems that struggle to keep pace with emerging threats, especially those posed by quantum computing. 11/11 takes a different path by owning the cryptographic foundation itself. This approach means building new key architectures designed to protect data far into the future, withstand quantum-era challenges and offer full transparency through auditable trust. Advanced cryptographi