As organizations rapidly adopt cloud-native technologies, security teams face evolving threats that traditional approaches struggle to mitigate. AI and machine learning are transforming application security—automating vulnerability detection, enhancing threat intelligence, and improving incident response. But how do we ensure AI itself is secure?

This session explores the intersection of AI and cloud application security, covering:

- How AI/ML-driven security tools are reshaping DevSecOps and threat detection.
- The risks of AI-powered attacks (e.g., adversarial AI, prompt injection) and mitigation strategies.
- Real-world case studies on securing AI-assisted development pipelines.