Your AI Policy Doesn't Run in Production. Your Gateway Does.

Governance for LLM applications and agents is increasingly becoming an infrastructure challenge rather than a policy document issue. As organizations scale AI features, relying on individual teams to implement security, logging, and redaction leads to inconsistent enforcement and compliance gaps. The author argues that moving these controls to an AI gateway—a centralized layer between applications and model providers—is the most effective way to ensure consistent policy enforcement. By routing traffic through a gateway, companies can standardize prompt inspection, PII redaction, identity management, and budget tracking. This approach not only simplifies compliance with regulations like the EU AI Act and GDPR by providing structured audit logs but also allows for centralized routing and security defenses, such as prompt injection detection. Ultimately, the gateway acts as the single point of truth, ensuring that governance is technically enforced rather than just documented.