Managing Privacy in the era of Generative AI

The rapid rise of Generative AI has created unique challenges for privacy leaders as they look to mitigate risks and ensure personal information is safeguarded. These technologies offer great potential for business innovation, and are being adopted by many different parts of the organization. However, the use of these large language models (LLMs) can also provide a conduit for misuse of sensitive information. 

Jay Exum, CPO of Asurion and Rehan Jalil, CEO of Securiti, explore how privacy professionals are navigating governance around these emerging technologies, and how a framework of unified data controls across silos can help. Some key points are:

• Unique challenges of managing privacy in the Generative AI era
• Building policies and controls to govern sensitive data used in LLMs
• Monitoring and controlling access to Generative AI tools
• How differential privacy and other techniques can mitigate risk
• Collaborating across silos of privacy, governance and security