Transforming the Black Box: Revealing AI Risks and Threats through Data Lineage

As 96% of organizations propel their AI adoption, traditional log-based security measures are failing to keep pace with the evolving landscape of data across clouds and endpoints. AI initiatives often act as a "Black Box," leaving security leaders blind to crucial data insights. This lack of visibility over data's journey—its origin, transformation, and movement—poses significant strategic risks, including extended investigations, unnoticed insider threats, and compliance oversights.
Join our executive briefing to learn how data lineage can enhance your security framework, transitioning from a Black Box to a Glass Box. Discover the advantages of a dynamic "Lineage Graph" in identifying hidden threats and managing AI-related risks, all while accelerating innovation.
Key Takeaways:

• Understanding data lineage for enhanced visibility and security.
• Transforming static alerts into a proactive threat detection strategy.
• Mitigating AI risks through insightful data analysis.
• Empowering rapid innovation while safeguarding sensitive information.