Data Security in the Age of GenAI: Risks, Challenges, and Best Practices

As generative AI (GenAI) continues to revolutionize industries, understanding and addressing the associated data security risks is imperative. This webinar will explore the unique data and security challenges posed in the era of AI, including model integrity, data integrity, and operational risks. We will delve into the potential consequences of ignoring these risks, such as financial losses, reputational damage, and legal implications.

The webinar will discuss essential risk mitigation strategies aligned with industry best practices. We will cover topics such as privacy, security, reliability, explainability, fairness, and governance. Additionally, we will explore the shared responsibility of AI risk mitigation across various stages of the AI lifecycle, from data collection to deployment and maintenance.

By attending this webinar, you will gain insights into:

1. The specific data security and risks associated with AI
2. Effective risk mitigation strategies to protect your data and systems
3. Best practices for ensuring the security, reliability, and fairness of GenAI models