Unveiling Hidden Threats and AI Risks through Data Lineage Insights

In today's fast-paced digital landscape, where 96% of organizations are rapidly adopting AI and data is evolving across multiple platforms, traditional "log-based" security measures fall short. The prevalent "Black Box" approach to AI—where data input and output are visible but the processes in between remain hidden—poses significant risks. Data security leaders face challenges such as prolonged investigations, insider threats, and compliance issues due to a lack of visibility into data's journey.
Join our executive briefing to learn how data lineage can enhance your security strategy, transforming the "Black Box" into a "Glass Box." This session will highlight how a dynamic "Lineage Graph" reveals hidden threats and mitigates AI risks, empowering your organization to safeguard sensitive information while fostering innovation.
Key Takeaways:

• Understand the limitations of traditional log-based security.
• Learn how data lineage enhances visibility and risk management.
• Discover the benefits of transitioning to a Lineage Graph approach.
• Explore strategies for protecting sensitive data while enabling innovation.
• Gain insights into mitigating insider threats and compliance gaps.