An AI Gateway Filters the Prompt. Here's What Still Needs a Zero Trust Layer.

AI gateways, such as Cloudflare AI Gateway, Kong AI Gateway, Portkey, and LiteLLM, are designed to handle prompt logging, token accounting, PII redaction, and per-model rate limits for internal AI stacks, but they fall short when it comes to managing the actions that AI agents perform within a network after a model call. The text highlights the importance of complementing AI gateways with a zero trust access layer to address governance issues that arise when AI agents interact with internal infrastructure, such as calling internal APIs, querying vector databases, or accessing admin tools. It emphasizes the need for agent-specific identities, resource access policies, and session-level audits to ensure security and accountability. The combination of AI gateways and zero trust access layers provides a comprehensive solution by controlling both the conversational and actionable aspects of AI agents, ensuring that while gateways manage the flow of prompts and responses, the access layer governs what agents can interact with on the network.

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