IBM Technology has released a video walkthrough of five foundational capabilities for handling sensitive data safely across AI systems, agents, tools and retrieval-augmented generation pipelines. The video, presented by Jeff Crume, covers visibility and classification of sensitive data, data residency and sovereignty requirements across jurisdictions, access control frameworks, and continuous audit trails for regulatory compliance.
The core argument is that sensitive data makes AI more powerful but also more risky. Organizations need machine-speed controls—visibility into what data exists, automated tagging of sensitivity levels, governance policies that respect data residency rules, and access controls with evidence trails—to deploy AI systems that regulators and stakeholders can trust.
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