LLMs are becoming high-value attack surfaces — vulnerable to prompt injection, data exfiltration, AI-specific DoS, and output manipulation. Traditional security stacks have to evolve to see, understand, or stop these threats.
In this episode, we’ll take you under the hood of Akamai’s Firewall for AI — a purpose-built solution designed to protect generative AI and LLM applications from real-time exploitation. We’ll walk through the system’s architecture, policy models, and detection capabilities — and showcase a live demo of how it stops AI-layer threats otherwise missed.
You’ll learn:
- How Firewall for AI enforces security policies against prompt injection, jailbreaks, and abuse
- How configurable context-aware detections protect AI APIs and chat interfaces
- How organizations can monitor, control, and secure LLMs without disrupting performance or innovation
Whether you're deploying third-party models, fine-tuned internal copilots, or exposing AI via APIs — this session shows how to make AI defenses operational, scalable, and resilient by design.
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