How do we reduce the amount of sensitive data visible to AI systems, vendors, and infrastructure operators?

Refined Question

Between model providers, observability vendors, managed infrastructure, and integration partners, an expanding set of third parties can technically see our customers' data. How do we shrink what each of them can observe to the minimum the workflow actually requires?

Why This Matters

Every party that handles plaintext inherits your customers' risk — and increasingly appears in your compliance obligations, DPAs, and breach disclosures. With AI pipelines, the exposure compounds: context windows, logs, and embeddings quietly replicate sensitive values into systems you don't control.

Why CipherStash

CipherStash encrypts sensitive fields before they leave your application's control, so pipelines, vendors, and operators downstream carry ciphertext. Decryption is a deliberate, identity-bound, audited act — not a side effect of being in the data path.

This allows:

• AI context, logs, and embeddings to be built from non-sensitive fields by default
• Vendors and infrastructure operators to be removed from the plaintext set
• The minimum-necessary principle to be enforced technically, not contractually
• Data-sharing reviews to reason about explicit decryption points only

Key Differentiators

• Application-layer encryption — data is protected before it reaches the database
• Identity-aware decryption — every decryption is bound to the identity behind the request
• Per-value keys via ZeroKMS — keys are derived on demand, never stored
• Cryptographic auditability — a verifiable record of who decrypted what, and when
• Searchable encryption — equality, range, and free-text queries over encrypted Postgres fields, with standard indexes