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Learn how to protect AI data sources and infrastructure through this 33-minute conference presentation from AI Field Day 7. Discover HYCU's comprehensive approach to data protection that extends beyond raw data to include configurations, metadata, and associated systems powering AI infrastructure. Explore free data discovery capabilities across SaaS, PaaS, DBaaS, and IaaS environments, and understand how to continuously map and visualize data estates while identifying unprotected resources and automating categorization in distributed IT landscapes. Examine the unique challenges of protecting data sources that fuel AI models, particularly in retrieval-augmented generation (RAG) environments, including protection of vector databases like Pinecone and Redis. Master strategies for managing and protecting data spread across public cloud, SaaS platforms, and on-premises infrastructures from a single control plane, ensuring portability, granular recovery, and ransomware resilience. Understand the modular, API-driven architecture that enables rapid integration of new SaaS sources while maintaining compliance and service-level agreements. Gain insights into enterprise awareness trends regarding operational and AI-related dataset protection as organizations transition from experimentation to production environments, including industry data on SaaS-related data breaches and their financial impacts. Learn about maintaining data sovereignty, avoiding third-party control of backup data, and implementing intelligent data locality strategies to minimize costs across major cloud providers.
