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CREATED:20260416T190310Z
DESCRIPTION:The session concludes with a forward looking perspective on how privacy controls must evolve to better protect sensitive data in high impact systems. It emphasizes a shift toward context aware, system level, and interaction focused approaches that align with how AI is actually used in critical infrastructure.\nKey Takeaways:\n• Understand where privacy controls fail in AI-driven critical infrastructure\nIdentify common breakdown points between policy, design, and real world system behavior\n• Recognize new data exposure pathways introduced by AI\nLearn how AI-driven processing, integrations, and user interactions create risks not addressed by\ntraditional controls\n• Evaluate limitations of existing data protection mechanisms\nUnderstand why classification, masking, and data loss prevention are insufficient in high impact AI\nenabled environments\n• Gain insight into protecting sensitive data in critical systems\nExplore practical considerations for securing data across complex and distributed infrastructure\n• Learn how privacy controls must evolve for AI environments\nShift from static and perimeter based controls to context aware and interaction level enforcement\nstrategies\n
DTSTART:20260519T170000
DTEND:20260519T180000
DTSTAMP:20260416T190310Z
LOCATION:Online
PRIORITY:5
SEQUENCE:0
SUMMARY;LANGUAGE=es-es:Tecnowebinars.com - :: Protecting Sensitive Data in AI-Driven Critical Infrastructure: Where Existing Privacy Controls Fall Short
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UID:878fa0f26fce73ca4c423614904924c5 Tecnowebinars.com
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