Blocking Sensitive Customer Data From Reaching OpenAI and Third-Party LLM APIs
A gateway layer redacts sensitive data before it reaches LLM providers.
Centralized access control stops sensitive data from leaking to external AI providers.
A gateway layer redacts sensitive data before it reaches LLM providers.
Attribution must be captured at request time, not recovered from invoices afterward.
Most zero-data retention promises exclude the data regulators ask for first.
Redacting sensitive data at the gateway prevents it from ever reaching external model providers.
Advertised per-token prices hide the real costs that determine your LLM bill.
Finance teams can now track AI costs by workflow instead of waiting for monthly invoices to arrive.
Token-based AI billing breaks traditional forecasting—measure cost per task, not per token.
Gateway pricing hides costs across multiple layers that don't all appear on the bill upfront.
Most AI spending goes untracked because invoices don't match organizational structure.
A gateway layer lets you measure and cap LLM spending before the bill arrives.
Finance teams can now see exactly where their AI budgets go, by team and project in real time.