AI Governance and Security: Why Enterprise LLMs Need a Defense-in-Depth Approach

As enterprises adopt large language models, robust AI governance and security are essential to prevent data leaks, regulatory penalties, and reputational damage. A defense-in-depth approach is crucial to mitigate threats like prompt injection and data contamination, ensuring compliance with regulations such as GDPR and the EU AI Act.