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Learn how CDL addresses emerging security and reliability challenges in generative AI workloads through this 59-minute webinar featuring live demonstrations and practical implementation strategies using Amazon Bedrock. Discover comprehensive approaches to testing GenAI applications, implementing robust security measures, and establishing effective monitoring systems for production workloads. Explore real-world case studies and best practices for managing the unique risks associated with generative AI deployments, including data privacy, model governance, and operational reliability. Gain insights into CDL's proven methodologies for ensuring secure and dependable GenAI operations at scale, with hands-on examples of tools and techniques for continuous monitoring and risk mitigation in cloud-based AI environments.
