What Is an AI Gateway? Securing Enterprise AI With Prisma AIRS and NVIDIA OpenShell

An AI Gateway is a control layer placed between your apps and AI models like OpenAI, Claude, or Gemini. It checks, logs, and routes every request, so no prompt reaches a model without oversight.

Enterprises often use several AI models at once. Without a gateway, there's no shared policy or logging, which creates security gaps. A gateway centralizes control, monitoring, and cost tracking across all models and teams.

Prisma AIRS is a security platform by Palo Alto Networks. It protects AI applications, models, data, and agents from threats like prompt injection and data leaks, while also offering red-teaming and posture management tools.

NVIDIA OpenShell is an open-source runtime that runs AI agents in isolated environments. It controls what agents can access or execute, using kernel-level policies, and logs every action for audit purposes.

An AI Gateway scans incoming prompts before they reach the model. It looks for hidden instructions or manipulation attempts embedded in text, documents, or webpages, and blocks them before they can affect model behavior.

Yes, LiteLLM Proxy is a lightweight, open-source option best suited for startups and fast-moving dev teams. It offers simple routing across many LLM providers using one unified API format.

These are common security risks in AI systems, including prompt injection, insecure output handling, training data poisoning, and excessive agency. A good AI Gateway addresses most of these risks at the infrastructure level.

Yes, AI Gateways support compliance by masking sensitive data, logging every interaction, and enforcing consistent data-handling rules. This is especially useful for regulated industries such as healthcare, finance, and insurance.

A normal API Gateway manages general backend traffic, while an AI Gateway is built specifically for AI risks like jailbreaks, token costs, and model diversity. It adds AI-specific security and governance layers.

It depends on your size, compliance needs, and engineering resources. Large enterprises may prefer Prisma AIRS, while engineering-heavy teams may lean toward NVIDIA OpenShell or an open-source tool like Kong AI Gateway.