Use case DiscoveR

Answer security questionnaires with evidence, not adjectives

One encrypted scan becomes the questionnaire. Pre-filled, attested, traceable to source.

Leaves proof it can never erase

Enterprise SaaSFinancial servicesHealthcare & pharmaCompliance & GRCSystem integrators

The problem

Sales cycles stall on 400-row spreadsheets your team rewrites by hand every quarter.

Every enterprise deal stalls on a 400-row spreadsheet your team rewrites by hand, quarter after quarter.

Mirror restores Proof · Evidence · leaves proof it can never erase

How it works

01

Scan

DiscoveR runs one encrypted assessment of your AI's posture.
02

Map

That single scan maps to the controls behind each questionnaire row.
03

Fill

Answers pre-populate with attested evidence traceable to source. not hand-typed claims.

"Trust us, we logged it" doesn't pass a regulator anymore. You need signed, tamper-evident proof for every decision.

Knowledge bases, vector stores, conversation history, agent memory. Every piece of context an AI reaches for is plaintext the moment it's loaded.

Domain models need real customer data to be useful. Training in plaintext means you hold what you swore you wouldn't.

Get started

FHE-native inference. Runtime agent guardrails. Continuous red teaming. One platform. Book a working session with the team.