AI workloads are now being targeted by threat classes that bypass traditional security controls, everything from prompt injection and model manipulation to runtime compromise deep inside containerized environments. Most tools only protect the edge or only monitor external models, leaving a critical gap inside the application infrastructure itself. This webinar shows how Akamai and Aqua Security close that gap by extending consistent AI security from the edge all the way into the container runtime without requiring code changes, SDKs, or developer effort.

You’ll learn how to:
• Stop prompt injection, model manipulation, and runtime compromise
• Apply consistent controls across SaaS LLMs and internal models
• Gain real-time visibility into AI behavior in production
• Protect both edge and runtime with zero developer lift