How do we contain insider threat risk and accidental misuse of customer data?

Refined Question

Our biggest realistic exposure isn't an exotic attacker — it's an employee with too much access, a curious query against production, or a well-meaning export that ends up in a spreadsheet. How do we contain insider risk without grinding operations to a halt?

Why This Matters

Insiders start inside every perimeter control you have. Role-based permissions are coarse, hard to review, and silently accumulate; and because conventional access leaves no meaningful trace, both malice and honest mistakes go undetected until the data is already out.

Why CipherStash

CipherStash narrows what any insider can read to what a decryption policy explicitly grants their identity — and records every decryption. Operating the database, the infrastructure, or the deployment pipeline no longer implies reading customer data.

This allows:

• DBAs and operators to do their jobs against ciphertext
• Production exports, dumps, and debugging copies to stay encrypted
• Each access to be attributable, which deters casual snooping
• Honest mistakes to leak ciphertext instead of customer data

Key Differentiators

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