Privacy Principles & Compliance
The topic of Chinese nationals participating in advanced STEM programs at American universities has recently come under intense scrutiny. With concerns mounting over potential national security risks, legislative and academic leaders are debating the appropriate measures needed to protect sensitive technologies and intellectual property. National
Decentralized identity can protect personal data in Web3 by providing individuals with more control over their own information, reducing reliance on centralized institutions, and leveraging blockchain technology for secure and transparent management of identity data, thereby enhancing privacy and security. The digital age has brought about a shift
As artificial intelligence continues to penetrate various industries, the need for robust data security frameworks has become paramount due to increased volumes of sensitive corporate data and personally identifiable information (PII). The challenge intensifies when securing data transfer between central processing units (CPUs) and graphical
In a groundbreaking study, researchers from Stanford University have uncovered significant security vulnerabilities in the caching mechanisms used by large language model (LLM) APIs. These findings have major implications for the AI industry, highlighting the delicate balance between efficiency and security in AI services. This article delves into
Data integrity is a vital aspect of any successful merger and acquisition (M&A) transaction. It is essential throughout the entire deal lifecycle, from the initial evaluation of target companies to identifying areas of synergies and ensuring effective integration. However, should data be compromised and its integrity lost, the transaction itself