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This 52-minute conference talk from RSA Conference features Bharath Chandrasekhar (Senior Staff Software Engineer at Mandiant, Google Cloud) and Anton Chuvakin (Senior Staff Security Advisor at Google Cloud) exploring the critical concept of Data-as-Code (DaC) for AI model development. Learn how treating data as a first-class input alongside code and configuration can transform ad-hoc AI development practices into secure, traceable systems. Discover the essential tenets of the DaC approach across the entire AI pipeline—from version control systems to training, storage, and serving implementations—to achieve comprehensive guarantees on lineage, integrity, and safety of AI models.
