Data Governance
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
The battle to protect vital climate data began in earnest as the Trump administration took office, sparking widespread concern about the preservation of information crucial for environmental policy-making and scientific analysis. Eric Nost, a geography professor at the University of Guelph, is collaborating with the Environmental Data Governance
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
Elon Musk, along with his Department of Government Efficiency (DOGE), has sparked significant controversy following their request for unprecedented access to the Internal Revenue Service’s (IRS) most sensitive data systems. This request involves accessing personal information of millions of U.S. taxpayers, including Social Security numbers, bank
As artificial intelligence (AI) continues to transform the landscape of Software as a Service (SaaS) platforms, enterprises must adapt their contractual frameworks to manage the associated risks. The integration of AI-related services, particularly generative AI (GenAI), into SaaS products presents new challenges that traditional contracts may not