Defining Data Loss Prevention in the AI Era
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As AI transforms how data is created, accessed, and shared, traditional definitions of data loss prevention (DLP) are no longer sufficient. This session reexamines DLP through the lens of modern AI-driven workflows, highlighting new vectors for data exfiltration and the limitations of legacy approaches. Learn how organizations are redefining DLP with contextual awareness, real-time policy enforcement, and AI-native protections to safeguard sensitive information in an era of accelerated innovation.