A B2B SaaS team turned on semantic caching with a similarity threshold of 0.88 and a global namespace to save on tokens. The cache returned a Tier-1 customer's cancellation summary during a Tier-3 customer's session. Two different requests were "similar enough" by embedding distance — and a cost optimization became a cross-tenant data leak. The team rolled back to exact-match caching.
FinOps & Resilience: How to Run AI in Production Without Going Bankrupt or Falling Over
A gateway with budgets, semantic caching, and fallback is the only thing standing between your AI workload and a six-figure overnight bill or a cross-tenant data leak.