Risk Management
In today's fast-paced digital era, businesses increasingly rely on artificial intelligence (AI) systems to stay competitive, innovate, and meet customer demands. However, for these AI systems to be effective and trustworthy, a solid foundation of data governance and automation is essential. The Ataccama Data Trust Report 2025 highlights how a lack
Vernon Yai is a data protection expert specializing in privacy protection and data governance. An established thought leader in the industry, he focuses on risk management and the development of innovative detection and prevention techniques to safeguard sensitive information. What prompted the significant removal of web pages and data sets
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