The evolving landscape of GenAI offers transformative opportunities for businesses across industries, but it also introduces new and complex challenges in data security. As organizations increasingly integrate AI solutions with their data repositories, ensuring that sensitive information remains secure becomes a critical priority. By implementing a comprehensive strategy that includes Retrieval Augmented Generation (RAG), robust authorization and access control mechanisms, multi-tenancy architectures, and metadata-based filtering, enterprises can confidently deploy GenAI solutions while safeguarding their data assets.
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