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Explore comprehensive strategies for securing data throughout the AI development lifecycle in this 40-minute conference talk from BSides Edmonton 2025. Learn how to protect sensitive information from data preparation through model development and production deployment as organizations rapidly adopt AI technologies. Discover industry best practices and advanced technical approaches for safeguarding data across various database systems including Db2, Big Data, NoSQL, and Vector databases. Master techniques for preventing unintentional data exposure by monitoring data copies across applications and cloud environments, detecting data leakage to protect PII, PCI, and intellectual property, and ensuring compliance with regulations like LGPD through effective data transfer monitoring. Gain insights into reducing compliance challenges while meeting evolving AI and data protection regulations, addressing the emerging cybersecurity risks that accompany the benefits of generative AI adoption in modern business processes.
