The request hit the system at midnight, and the logs told a story no API could hide. Data was being pulled, reshaped, and sent into generative AI endpoints without a single control in place.
Generative AI has changed the velocity of product development. But with speed comes exposure. Sensitive data, unverified prompts, inconsistent access policies—these are not abstract risks. They are attack surfaces. The solution is shifting toward a clear model: data controls enforced by a unified access proxy.
A unified access proxy sits between your generative AI applications and every external model provider. It doesn’t just route calls. It enforces policy at the edge. It filters sensitive fields. It applies role-based access with zero exceptions. It records every request and response for audit without slowing performance.
Generative AI data controls inside the proxy allow teams to standardize guardrails across all models—OpenAI, Anthropic, Azure, custom LLMs—without embedding brittle logic into each service. You can redact PII before it leaves your network. You can throttle requests by role. You can enforce content boundaries on inputs and outputs in real time.