Organizations are rapidly expanding their digital transformation initiatives to include AI and Generative AI (GenAI) technologies, seeking to leverage their transformative capabilities to drive innovation and efficiency. However, this adoption introduces new security challenges, particularly as sensitive data increasingly interacts with AI workloads in cloud environments. This webinar explores the security challenges organizations face when integrating AI into modern, agile cloud architectures and why a Zero Trust security approach is critical for protecting sensitive data and mitigating these risks.

Join our roundtable panel of experts, including Guy Currier, analyst at The Futurum Group, and Jason Smith, Partner Solutions Architect at  Zscaler, and Travis Niedens, AWS who will share their extensive knowledge and experiences on AI and Zero Trust security paradigms, and discuss a variety of topics.

What You’ll Learn:

1. The unique security challenges posed by GenAI and how they differ from traditional security concerns.

2. The importance of a Zero Trust security model for securing AI workloads and how it can reduce the attack surface and prevent data breaches.

3. Practical strategies for implementing Zero Trust in the context of GenAI, including access control, data protection, and threat monitoring.

4. Security controls and services that can enhance the protection of AI workloads on the AWS platform.

5. Real-world insights and best practices for securing GenAI, enabling organizations to adopt AI technologies securely and confidently.