This article explores 'Autonomous Incident Response,' where AI autonomously detects, analyzes, and recovers from system failures and security incidents, and explains the operational transformation it brings.
An explanation of how 'cryptographically signed provenance' proves the origin and edit history of digital content, and its importance in combating misinformation.
In preparation for the rise of quantum computing and the discovery of vulnerabilities in cryptographic algorithms, this article explains the concept and importance of 'crypto-agility'—the ability to swap out cryptographic functions without rebuilding systems from scratch.
Explore the inner workings of confidential computing, a technology that keeps data encrypted during processing to prevent memory-level leaks, and the hardware-based trust that powers it.
This article explains the mechanism of TEE, which protects data in use in cloud environments, and the secure data utilization brought by confidential computing.
Explore how to build and maintain the reliability that forms the bedrock of digital society through data provenance management and crypto-agility.
Explains the role, components, and specific benefits of AIBOM in enhancing the reliability and safety of AI models.
This article explores how SBOM (Software Bill of Materials) visualizes software components and outlines strategic methods to protect systems from supply chain attacks.
In today's rapidly changing world, letting go of old methods is just as important as learning new ones. Discover the secrets of unlearning to thrive in the AI era.
An explanation of how end-to-end models, which process everything from input to output through a unified neural network, are improving AI response speed and expressiveness.