Privacy Principles & Compliance
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
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. Today, we’ll discuss the recent release of NEXUS by LG AI Research and
The latest buzzword shaking the tech world is DeepSeek, a new Chinese AI company that has captivated millions of users and disrupted the U.S. tech market with its innovative R1 chatbot. Developed at a fraction of the cost compared to competitors like OpenAI’s ChatGPT and Google’s Gemini, DeepSeek's arrival has raised discussions about AI
In today's digital age, where the frequency and sophistication of cyber threats continue to escalate, the importance of adopting robust frameworks to safeguard sensitive data and ensure operational continuity cannot be overstated. Organizations of all sizes need a structured approach to cybersecurity to protect their assets and build resilience