Platform & Foundational IP

CipherVault

Trustless Analytics Through Cryptographically Enforced Privacy

Share encrypted vaults that can be computed on—while plaintext data is never revealed. Replace trust with mathematics.

Raw DataExposedENCRYPTCKKS + k-anonVAULTProtectedAnalyticsZero exposureSourceCompute on encryptedInsights

The Fundamental Shift

From Trust to Mathematics

Traditional Data Sharing

YOURDATAVendorPartnerAnalystCloudResearch
Raw data leaves your control
Trust-based access with no enforcement
Every party is an attack surface
Breach = complete data loss

CipherVault Approach

CIPHERVAULTVendorPartnerAnalystCloudResearch
Only encrypted vaults leave your control
Cryptographic enforcement, not contracts
Compute without decryption
Breach = data still protected

Security Architecture

Three-Vault Security Model

Strict separation ensures no single component can compromise data. All three must be obtained simultaneously.

Shared VaultEncrypted DataAnonymized✓ Safe to ShareMap VaultToken → IdentityMappings✗ Never SharedSecret KeyDecryption KeyOwner Only✗ Owner OnlyNo single component sufficient for compromise · Mathematical guarantee of protection

Shared Vault

Encrypted, anonymized data safe for external sharing with partners, analysts, and vendors.

No identity information
Computation-ready format
Automatic PII removal
k-anonymity applied

Map Vault

Token-to-identity mappings enabling owner-controlled re-identification when required.

Never leaves owner control
Compliant re-identification
Full audit trail
Regulated workflow support

Secret Key

Required to decrypt computation results. Held exclusively by data owner at all times.

Never transmitted
Hardware-secured option
Key rotation supported
Multi-party threshold option

Workflow

How CipherVault Works

1

Ingest

Source data

PostgreSQL

CSV, API

2

Encrypt

Transform

CKKS Encryption

PII Detection

k-Anonymization

3

Store

Vault creation

CipherVault

Protected

4

Share

Grant access

Partners

Secure access

5

Compute

Analytics

Encrypted Query

Zero exposure

Data remains encrypted throughout the entire workflow · Only owner can decrypt final results

Encrypted Sharing

No plaintext. No raw exports. Public-key encryption.

Protected Compute

Aggregations, statistics, queries on ciphertext.

Defense in Depth

Multiple layers must fail for re-identification.

Identity Remapping

Owner-controlled re-identification when needed.

Interface

Vault Console

Manage encrypted vaults, run secure queries, and control access—all in one powerful interface.

vault.genovation.ai● Secure

CipherVault

Secure Analytics

End-to-End Encrypted

CKKS Homomorphic · 256-bit

Dashboard

Overview of your encrypted data operations

Active Vaults

4

All encrypted

Partners

7

With access

Queries (30d)

1,247

Zero exposure

Data Protected

2.4 TB

Across vaults

My VaultsView All →

Customer Analytics

1.2M records · 3 partners · Last query: 2h ago

892 MB

● Active

Financial Transactions

4.7M records · 2 auditors · Last query: 1d ago

1.1 GB

● Active

Clinical Trial Data

342K records · PHI protected · HIPAA compliant

456 MB

● Active
Recent Activity

Query executed

customer_analytics · Acme Research

2m

Access granted

Ernst & Young → financial_transactions

1h

Vault created

Q4 Revenue Data · 2.1M records

3h

Results decrypted

clinical_trial · Admin

5h
Query Console — Encrypted Analytics
● Connected to customer_analytics
SQL Query
SELECT
    region,
    COUNT(*) AS transactions,
    AVG(amount)  AS avg_amount,
    SUM(amount)  AS total_revenue
FROM transactions
WHERE date BETWEEN '2024-01-01'
    AND '2024-03-31'
GROUP BY region
ORDER BY total_revenue DESC
Results
Computed on ciphertext0 bytes exposed
regiontransactionsavg_amounttotal_revenue
APAC127,432$847.23$107.9M
EMEA89,241$923.18$82.4M
AMER156,892$512.47$80.4M
LATAM42,108$389.52$16.4M
Scanned: 415,673 records in 1.2s
Access Control — customer_analytics
PartnerAccess LevelPermissionsLast ActivityStatusActions
AR

Acme Research

research@acme.com

Read + AggregateSUM, AVG, COUNT, GROUP BY2 hours agoActive
MC

McKinsey & Co

analytics@mck.com

Read + AggregateSUM, AVG, COUNT, GROUP BY1 day agoActive
JH

Johns Hopkins

research@jhu.edu

Read OnlyCOUNT only3 days agoPending

Comparison

A New Paradigm

CipherVault is not a privacy feature. It's a fundamental shift in how data can be shared.

AspectTraditionalCipherVault
Data FormatRaw CSV / DB exportsEncrypted vaults
Access ModelTrust-basedCryptographic
Exposure RiskAlways presentZero plaintext
EnforcementContractualMathematical
AuditabilityPost-hocBuilt-in
Breach ImpactComplete data lossData stays protected

Industries

Regulated Domains

Where privacy violations are not just costly—but unacceptable. Select an industry to see CipherVault in action.

Healthcare & Life Sciences

HIPAA, clinical trials, PHI protection

Financial Services

PCI-DSS, SOX, GDPR compliance

Government & Defense

FedRAMP, ITAR, classified data

Cross-Border Collaboration

GDPR, data residency requirements

Multi-Site Clinical Trials

How CipherVault enables collaborative research without exposing PHI

Patient Records

Site A, B, C

Encrypt & Strip

De-identify PHI

CipherVault

HIPAA compliant

Research Query

Encrypted compute

Trial Insights

Zero PHI exposure

Compliance

HIPAA, 21 CFR Part 11, IRB protocols

Use Case

Aggregate outcomes across trial sites without sharing patient data

Protection

Names, SSNs, diagnoses never leave originating hospital

Ecosystem

Sovereign Stack

Part of Genovation's foundational IP for secure intelligence.

Mentis AgentOS

Governed intelligence

CipherVault

Cryptographic protection

Current

Data Backbone

Governed pipelines

Don't share data.

Share vaults.

Data sharing becomes safe by default. Analytics without exposure. Trust replaced by mathematics.