Intelligence ThatNever Leaves Your Control

For regulated enterprises, AI adoption isn't blocked by capability.

It's blocked by risk.

Data Exposure
Non-Compliance
Opaque Decisions
Scroll
Risk Assessment

The Hidden Cost
of Traditional AI

Most AI systems require you to accept assumptions that regulated enterprises cannot defend.

Traditional AI

HIGH_RISK

Your data leaves your control at every stage

YOUR_ORGANIZATIONDatabasesDocumentsEXTERNAL_CLOUD3rd Party Providerretention: UNKNOWN????USED_FOR_TRAINING?BLACK BOXNo explainability
Data physically leaves your infrastructure
Unknown retention & training policies
Opaque decision-making process
Third-party data breach exposure

Genovation

SOVEREIGN

Every byte stays under your control

SECURITY_PERIMETER🛡DatabasesDocumentsPQC VaultPost-Quantum Encrypted StorageLocal MentisOS ProcessingOn your infrastructureJUDGEExplainable • AuditableAudited Output✓
Data never leaves your security perimeter
Post-quantum encrypted at rest & in transit
Full decision explainability via JUDGE
Immutable audit trail for compliance
PQC Vault

Post-Quantum
Secure Storage

Data encrypted today with classical algorithms can be harvested now and decrypted when quantum computers arrive. PQC Vault eliminates this threat from day one — inside MentisOS.

Harvest Now, Decrypt Later (HNDL)

Adversaries are already capturing encrypted data today, betting that future quantum computers will break RSA and ECC. Data with long-term value — trade secrets, patient records, classified intel — is at risk now.

pqc_vault.lattice_view
QUANTUM_SAFE
KLATTICE_CRYPTOGRAPHY — Shortest Vector Problem (SVP)

PQC Vault uses lattice-based cryptography — mathematical problems that even quantum computers cannot efficiently solve. The Shortest Vector Problem (SVP) in high-dimensional lattices forms the security foundation, standardized by NIST as ML-KEM (Kyber) for key encapsulation and ML-DSA (Dilithium) for digital signatures.

ML-KEM (Kyber)

NIST FIPS 203

Post-quantum key encapsulation mechanism. Protects all key exchanges and data-at-rest encryption keys.

Security Level: 5 (AES-256 equivalent) • Lattice dimension: 1024

ML-DSA (Dilithium)

NIST FIPS 204

Digital signature scheme for authentication and data integrity. Ensures tamper-proof audit trails and verified identity.

Signature size: 4627 bytes • Verification: < 0.5ms

Hybrid PQ-TLS 1.3

IN-TRANSIT

Dual-layer protection: ML-KEM + X25519 hybrid key exchange. If either algorithm holds, your data is safe.

Classical: X25519 + AES-256-GCM • PQ: ML-KEM-1024

HSM-Backed Key Storage

FIPS 140-3 L3

All PQC keys stored in hardware security modules. Keys never exist in software memory — extracted and used only within HSM enclaves.

CipherVault Protocol

Trustless
Data Transit

CipherVault isn't just a vault — it's a complete secure transfer protocol. PII is extracted and kept local, remaining data travels encrypted with placeholders, and ML runs on ciphertext. No secret ever leaves your perimeter.

ciphervault.protocol — Secure Transfer Pipeline
E2EE ACTIVE
STAGE 1

Raw Data

name: "John Doe"
ssn: "123-45-6789"
salary: $85,000
dept: "Engineering"
Contains PII
STAGE 2

PII Extraction

→ Local Vault:
"John Doe" → tk_001
"123-45-6789" → tk_002
PII stays local
STAGE 3

HE Encrypt

name: tk_001
ssn: tk_002
salary: Enc(85000)
dept: Enc("Eng")
FHE ciphertext
STAGE 4

ML on Ciphertext

TEE Enclave:
f(Enc(x)) →
Enc(f(x))
// Compute without decryption
Zero plaintext
STAGE 5

Decrypt & Remap

→ Results:
avg_salary: $78,250
risk_score: 0.12
// Tokens resolved locally
Full fidelity
LOCAL_PERIMETER
PII & secrets stored in PQC-encrypted local vault
Token-to-value mapping never transmitted
Decryption & remapping happens here only
TRANSIT_ZONE
Only tokenized + FHE-encrypted data leaves
ML models operate on encrypted ciphertext
Compromised transit reveals zero usable data

Smart PII Detection

NER-powered entity recognition identifies names, SSNs, addresses, financial data, health records, and custom-defined sensitive fields before any data leaves your perimeter.

Full Homomorphic Encryption

Non-sensitive fields encrypted with FHE (CKKS/BFV schemes) so ML models can run aggregations, classifications, and analytics directly on ciphertext — without ever seeing plaintext.

Deterministic Remapping

When encrypted results return, tokens are resolved against the local vault and values mapped back — fully reconstructing insights with zero data leakage during the entire pipeline.

Defense in Depth

Multi-Layer Security

Security isn't a layer added at the end — it's embedded across the entire stack.

LAYER 5

Application Governance

LAYER 4

Zero-Trust Authentication

LAYER 3

Data Encryption

LAYER 2

Network Isolation

LAYER 1

Hardware Security

Application Governance

JUDGE Framework

Real-time policy enforcement at the application layer ensures every AI operation complies with your organization's rules before execution.

Policy Engine

Real-time evaluation against configurable rules

Human-in-the-Loop

Approval workflows for sensitive operations

Immutable Audit Trail

Complete log of all decisions and actions

POLICY_CHECKLIVE
PASS
Deployment

Choose Your Security Level

From private cloud to air-gapped enclaves. Every deployment inherits the full security stack.

Private Cloud

Deploy within your VPC with complete network isolation. Data stays in your cloud account.

Your VPC, your keys
Zero data egress
Full audit integration
COMPLIANCE: Standard

On-Premise

Full installation on your hardware within your datacenter. Maximum infrastructure control.

Your hardware
Kubernetes or bare metal
HSM integration
COMPLIANCE: Regulated

Air-Gapped

Complete network isolation with zero external connectivity. Maximum security posture.

Zero connectivity
Offline operation
Manual updates only
COMPLIANCE: Classified
Start Your Security Journey

Ready for Real Security?

If your organization requires intelligence systems that meet real-world security and sovereignty standards, let's talk.

"If intelligence cannot be secured,
it should not be deployed."