Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore comprehensive strategies for securing AI pipelines and protecting sensitive data throughout the machine learning lifecycle in this 31-minute conference talk. Learn how to safeguard data from preparation through model development and production deployment while addressing the emerging cybersecurity challenges that come with rapid AI adoption. Discover industry best practices for protecting sensitive information across various database types including Db2, Big Data, NoSQL, and Vector databases. Master techniques for preventing unintentional data exposure by monitoring data copies across applications and cloud environments, and implement effective detection systems for data leakage to protect PII, PCI data, and intellectual property. Understand compliance requirements including LGPD regulations and learn how to monitor data transfers effectively. Gain practical insights into reducing compliance challenges while meeting evolving AI and data protection regulations, presented by a technical executive and security architect with over 16 years of experience in cybersecurity solutions across SIEM, SOAR, EDR, and data governance technologies.
