From Black Box to Glass Box: Uncovering Hidden Threats and AI Risks with Data Lineage (NAM)
In a world where 96% of organizations are accelerating AI adoption and data is constantly mutating across clouds and endpoints, even the most modern "log-based" security is no longer sufficient. Most AI initiatives operate as a "Black Box"—data goes in, results come out, but the internal journey remains dangerously opaque. For data security leaders, the inability to see the journey of their data—not just its final destination, but also its origin, transformation, and movement—creates unacceptable strategic risks: prolonged investigations, undetected insider theft, and compliance blind spots.
Join us for this executive briefing to discover how data lineage transforms your security posture From Black Box to Glass Box. We will explore how shifting from static alerts to a dynamic "Lineage Graph" uncovers hidden threats and mitigates AI risks, empowering your organization to defend its most sensitive data while enabling rapid innovation.
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