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IBM Technology: Can Your AI Use Sensitive Data Safely? 5 Capabilities You Need

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Can Your AI Use Sensitive Data Safely? 5 Capabilities You Need
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Video von IBM Technology auf YouTube: Learn more about Digital Sovereignty here → https://ibm.biz/~Wxx0y9d9w Sensitive data makes AI powerful, but also risky.…

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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



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