Data handling and public LLMs . The study revealed a gap between protocol and practice when sharing data in large public language models (LLMs). Although 70% of organizations claim to have ...

User data protection is a universal concern for businesses across all industries. In the digital age, personal data is a valuable asset, and its compromise can lead to severe financial and ...

Traditional frameworks for regulated data protection have failed despite decades of effort, and enterprises need to move from ...

Varonis Systems launched the Model Context Protocol Server, enabling AI-driven data security automation and insights for ... data loss prevention (DLP), AI security, identity protection, ...

Although 70% of organizations claim to have specific protocols to safeguard the sharing of sensitive data with public LLMs, 74% of respondents are aware that individuals within their organizations ...