In an era where AI models like ChatGPT have revolutionized tech, they also pose unprecedented data exposure risks, I dubbed "The Great Leak." This presentation explores how organizations inadvertently feed sensitive data into AI systems, creating vulnerabilities. I will delve into strategic solutions for safeguarding data, such as deploying private AI infrastructure, leveraging open weights models, and implementing hybrid approaches. Attendees will gain actionable insights on establishing robust AI governance, evaluating vendor solutions, and developing proprietary AI capabilities. Join to understand these risks and learn how to navigate the AI landscape securely, ensuring that your data protection strategies not only mitigate threats but also empower your business to thrive. Discover how to balance innovation with security and turn data protection into a competitive advantage.
Learning Objectives:
Attendees will gain a clear understanding of how generative AI models inadvertently expose sensitive data, and the specific vulnerabilities this creates for organizations. I will describe a comprehensive overview of the risks and how they manifest in today's tech landscape.
Participants will learn actionable strategies for safeguarding data, including deploying private AI infrastructure, using open weights models, and implementing hybrid approaches. These insights will equip them to establish robust AI governance and protect their enterprise data effectively.
At the end of the presentation, I will define knowledge to balance innovation with security that businesses require by turning data protection into a competitive advantage. l will define practical guidance on evaluating vendor solutions and developing proprietary AI capabilities, ensuring they can thrive in the age of generative AI.
