Securing the Future: Leveraging AI and GenAI in Cloud Security

 As cloud environments evolve, securing AI-driven and cloud-native workloads has become a paramount challenge.

This presentation will dive deep into cutting-edge cloud security practices, focusing on the intersection of GenAI, LLMSecOps, and Cloud Native Security. Attendees will learn how to secure AI and machine learning workloads in the cloud, with a specific focus on GenAI-powered applications and LLMSecOps for proactive defense strategies.

Through real-world case studies, we will explore lessons learned from securing AI models, cloud-native applications, and advanced threat detection using GenAI-powered security tools. The session will cover best practices for defending against adversarial attacks, securing cloud-native architectures like Kubernetes and containers, and automating cloud security using DevSecOps principles.

Key takeaways include:

- Actionable defense strategies to secure AI and machine learning models in cloud environments.

- How to implement LLMSecOps for continuous security throughout the machine learning lifecycle.

- Best practices for securing cloud-native architectures, with a focus on containers and Kubernetes.

- Adversarial AI defense mechanisms in cloud applications to mitigate the latest threats.