1 Strengthening data governance for AI transformation Compliance and eDiscovery Data security The rise of AI introduces new challenges Securing AI-driven operations should in compliance and eDiscovery (the handling involve Zero Trust principles at the of data for legal cases), particularly in identity level, which minimizes the risk managing AI-generated data and adapting of unauthorized access. Regular updates to evolving legal requirements. Updating to endpoints, including devices and data governance frameworks to address applications, reduce vulnerabilities that these challenges involves developing could be exploited. Awareness of the policies that cover AI-generated content, generative AI tools in use within the such as ensuring AI-produced documents or organization allows for the blocking of communications are tracked, categorized, unsanctioned or insecure applications, and stored securely. For example, policies which in turn prevents potential security may need to be updated to ensure that breaches. By limiting access to AI tools AI-generated emails or reports are tagged and data to only trusted personnel, and archived properly for future retrieval. organizations can achieve greater data integrity and protect their AI operations Enhancing eDiscovery capabilities would from potential threats. include integrating AI tools that can search and identify AI-generated content across various platforms. For instance, during a legal inquiry, eDiscovery tools must be able to find and retrieve specific AI-generated documents, summarize relevant communications, and provide clear audit trails to prove compliance. By updating these capabilities, organizations can better manage data during legal audits or investigations, ensuring that all relevant AI-generated information is accessible and defensible in court. 7