FortiAIGate secures the runtime connection between applications and large language models while improving governance, performance, and cost control. Acting as an intelligent proxy, it applies policies and guardrails to every model input and output to detect prompt injection, jailbreaking, model poisoning, misuse, excessive consumption, data exfiltration, and model extraction. Context-aware data loss prevention protects sensitive information, while centralized monitoring, auditing, and access controls provide visibility across cloud, on-premises, and edge models. Intelligent routing selects models based on cost, latency, and performance, and output caching reduces duplicate processing and token use. Its containerized Kubernetes deployment supports automatic scaling, API protection, DDoS def

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