Resource Library

AI can transform processes, streamline operations, and boost productivity — but this innovation comes with a need for caution. Many IT leaders are shining a spotlight on the importance of data security, recognizing that AI innovation must be balanced with safeguarding sensitive data and maintaining compliance with stringent data privacy regulations.

Understanding how AI models interact with data is essential for maintaining security, as these models often handle sensitive information that can become vulnerable if not properly protected. In the race to innovate quickly and stay competitive, businesses may prioritize speed over security, aiming to deploy solutions faster. However, this approach can lead to costly data breaches, leaving companies to deal with significant financial losses and reputational damage.

This whitepaper summarizes the new security concerns being raised by AI and offers best practices to address them.