Securing and Ensuring Data Sovereignty: Securing AI

This video explores the growing integration of generative AI tools, such as ChatGPT, GitHub CoPilot, and Grammarly, within organisations, and how businesses can effectively manage and secure their use. The discussion highlights the challenges associated with AI's data handling, particularly in relation to sensitive personal information, and outlines the importance of applying strict controls to prevent accidental data sharing. With the rapid expansion of AI applications, Netskope provides a solution for tracking and managing these tools to ensure that only sanctioned applications are used within an organisation.

A key focus of the video is on Netskope's ability to monitor AI usage, giving organisations a clear view of which tools are being accessed, how frequently, and the amount of data being shared. By leveraging granular policies, companies can restrict or allow specific interactions with AI applications, ensuring data security and compliance. This includes blocking unauthorised uploads of sensitive data, such as source code or sales figures, and providing real-time alerts to users when they're about to violate security protocols.

The demonstration showcases how Netskope's platform can detect and block teh transfer of potentially sensitive data while allowing businesses to control the environment in which AI tools are used. Whether it's limiting document uploads in tools like ChatGPT or ensuring users are logged into corporate-approved AI tools, Netskope ensures businesses maintain full control over AI security.