This article explores how SBOM (Software Bill of Materials) visualizes software components and outlines strategic methods to protect systems from supply chain attacks.
Explains the role, components, and specific benefits of AIBOM in enhancing the reliability and safety of AI models.
Explore how to build and maintain the reliability that forms the bedrock of digital society through data provenance management and crypto-agility.
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.
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.
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.
An explanation of how 'cryptographically signed provenance' proves the origin and edit history of digital content, and its importance in combating misinformation.