Ep. 3 - Securing the AI-Powered Stack: How to Protect APIs, Models, and Applications - Seguridad Mania.com - España y América Latina

As AI adoption accelerates, new risks emerge — not just in the models themselves, but in the APIs that power them. In this final session of our 3-part series, we move from strategy to implementation, showing how Akamai solutions can help organizations secure modern, AI-enabled applications. Large language models (LLMs) and AI services rely heavily on APIs to connect to data sources, integrate with applications, and deliver real-time value. This API dependency creates a broader, more dynamic attack surface that must be discovered and secured. You will learn how Firewall for AI, WAAP, and API Security work together to secure AI workloads, protect sensitive data, and reduce organizational risk. You'll also see how to discover unknown APIs used by AI systems and defend against emerging threats like prompt injection and inference abuse. What you’ll learn: -How APIs underpin AI workloads and introduce new security concerns -The role of API discovery in securing LLMs and AI services -Demo: Using Akamai’s Firewall for AI with API Security and WAAP -How to implement layered defenses for application, API, and AI traffic Who should attend: Security Architects, AppSec leaders, DevSecOps, and teams deploying or securing AI systems.