Rethinking Data Security and Insider Risk for Trusted AI Adoption

This document is a spotlight report that discusses the challenges and strategies related to data security and insider risk in the context of artificial intelligence (AI) adoption. It outlines the critical role of organizational data in driving business strategies and innovation, particularly as AI systems require access to vast amounts of data. The report identifies key risks associated with data volume and sprawl, emphasizing the importance of mapping and monitoring sensitive data to mitigate insider threats and compliance issues. It presents findings from IDC's surveys, highlighting the need for centralized visibility and effective data management practices to enhance security without hindering AI innovation. The report also advocates for a data-centric security approach, detailing the benefits of using advanced data security tools that enable organizations to discover, classify, and manage data effectively. Furthermore, it discusses the importance of integrating security measures to ensure comprehensive protection against potential data breaches and to foster trust in AI applications.