sqrypt-cyber-sdk 0.1.0

Enterprise Hybrid Post-Quantum Cryptography SDK wrapping NIST FIPS-203 (ML-KEM)

SQrypt Post-Quantum Cybersecurity SDK 🛡️

SQrypt is an enterprise-grade developer kit designed to secure high-stakes data ingestion layers against future quantum threats. It provides an optimized, drop-in abstraction layer wrapping NIST FIPS-203 (ML-KEM) lattice cryptography.

Key Features

• One-Line Implementation: Secure runtime data routing via native Python decorators.
• Hybrid Defense Architecture: Merges classical AES-256-GCM symmetric block ciphers with post-quantum asymmetric encapsulation.
• Zero-Knowledge Target Mutation: Secure specific nested keys within complex JSON payloads without exposing metadata.

Installation

pip install sqrypt-cyber-sdk

Quick Start Guide

• Initialize the Secure Client: Connect the SDK to your isolated enterprise infrastructure instance by instantiating the client engine with your secret keys:

from sqrypt import SQryptClient

client = SQryptClient(
    server_url="[http://127.0.0.1:8500](http://127.0.0.1:8500)", 
    api_key="YOUR_ENTERPRISE_API_KEY"
)

• Runtime Interception (Pattern A): Protect live string streams dynamically at the functional boundary using the automatic encryption decorator:

@client.auto_encrypt()
def process_runtime_transaction(user_id: str, card_data: str) -> str:
    # Data is automatically encapsulated before network dispatch
    return f"USER:{user_id}|RAW_CARD:{card_data}"

# Executes lattice-based key encapsulation
protected_payload = process_runtime_transaction("usr_998", "4111-2222-3333-4444")

# Reclaim the plaintext string through zero-knowledge decapsulation
recovered_string = client.decrypt(protected_payload)

• Granular Field Masking (Pattern B): To protect structural records or transactional documents before database insertion, mask target keys selectively:

database_document = {
    "account_id": "acc_001",
    "status": "active",
    "tax_id": "999-12-3456",
    "secret_token": "token_xyz123"
}

# Mutates specified targets into quantum-secure ciphertext bundles
masked_document = client.protect_dict(
    data=database_document, 
    sensitive_keys=["tax_id", "secret_token"]
)

SECURITY SPECIFICATIONS

SQrypt's design parameters conform strictly to the modern cryptographic primitives evaluated by the National Institute of Standards and Technology (NIST):

Layer / Algorithm / Standard	Target Bit Security	Notes / Details
Asymmetric Key Encapsulation	ML-KEM-768 (FIPS 203)	192-bit (Quantum-Secure)
Symmetric Bulk Encryption	AES-256-GCM	256-bit (Classical/Quantum-Safe)
Key Derivation Function	HKDF-SHA256	High-Entropy Expansion

License

This SDK is distributed under the terms of the MIT License.