Skyflow for GenAI is a data privacy vault solution designed to protect sensitive data throughout the generative AI and LLM lifecycle. It enables organizations to build, train, and deploy AI models without exposing personally identifiable information (PII) or other sensitive data. The product operates across the full LLM workflow, covering data collection, model training, fine-tuning, retrieval-augmented generation (RAG), inference, and sharing data with third parties or external models. Core capabilities include automatic detection and redaction of sensitive data and intellectual property, followed by re-identification for authorized users. Access to sensitive data is controlled through fine-grained, time-bound access policies. The product also supports building privacy-preserving AI agents that can process and act on data without exposing sensitive information. Skyflow for GenAI is built on a data privacy vault architecture that handles both structured and unstructured data formats. It supports tokenization, polymorphic encryption, and data residency requirements. Compliance support includes GDPR, the EU AI Act, and India's DPDP Act. The product targets industries such as fintech, healthcare, retail, and travel, where handling sensitive customer data is a primary concern.