Agents are just software: Your AI agent needs a gateway

AI agents are portrayed as non-deterministic software programs that access data and systems through APIs, creating governance and security risks because their runtime decisions may be unpredictable and difficult to trace. Using London taxi drivers’ extensive “Knowledge” training as an analogy, the piece argues that organizations must impose controls on agents through established API-management practices such as authentication, access policies, rate limits, logging, auditing, and security controls. It emphasizes that agents should be treated as API consumers rather than as a fundamentally separate technology, while noting that their speed, scale, and autonomous behavior can expand the potential impact of errors. The author advocates self-hosted AI gateways for regulated organizations that need to keep agent traffic, credentials, logs, and policy enforcement within their own infrastructure, presenting this approach as a way to maintain visibility and control over agents interacting with critical systems of record.

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