Can Your AI Use Sensitive Data Safely? 5 Capabilities You Need
Learn more about Digital Sovereignty here → https://ibm.biz/~Wxx0y9d9w Sensitive data makes AI powerful, but also risky. Jeff Crume explains five essential capabilities for using sensitive data safely across AI systems, agents, tools, and RAG pipelines. Learn how visibility, classification, governance, access controls, and evidence help secure AI-driven workflows. 00:00 - Why AI Requires Machine‑Speed Data Controls 00:18 - The Sensitive Data Conundrum: Useful but Risky 01:02 - Five Foundational Controls for Safe AI Adoption 01:13 - Visibility: You Can’t Protect What You Can’t See 02:16 - Automated Classification and Sensitivity Tagging 03:59 - Data Residency, Sovereignty, and Localization Explained 05:46 - Jurisdictional Complexity in Cloud Environments 07:12 - Access Control and the Four As of IAM 08:53 - Audit Trails and Continuous Evidence for Regulators 10:27 - Trustworthy AI Requires Trustworthy Data 11:06 - Turning Sensitive Data Into a Strategic AI Advantage AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/~OuRghwRQo AI was used in the creation of the transcript and metadata for this video. #aisecurity #digitalsovereignty #aidata #cybersecurity --------------------------------------------------------------------------------------------------------- Find us on YouTube: 🔵 IBM Technology: https://www.youtube.com/@IBMTechnology 🔵 IBM: https://www.youtube.com/@IBM 🔵 IBM Developer: https://youtube.com/@IBMDeveloperAdvocates
