cryptoserve-auto 0.3.0

CryptoServe Auto-Protect - Automatic encryption for third-party libraries

cryptoserve-auto

Automatic encryption for data flowing through third-party libraries.

The Problem

Your application uses hundreds of dependencies. Each may send sensitive data to external services. When quantum computing breaks classical encryption, these dependencies become attack vectors.

The Solution

One line of code automatically protects all outbound sensitive data:

import cryptoserve_auto
cryptoserve_auto.protect()

# Now all outbound requests are automatically protected
import requests
requests.post("https://api.vendor.com/users", json={
    "name": "John Doe",
    "email": "[e-mail]",  # Auto-encrypted
    "ssn": "123-45-6789",         # Auto-encrypted
})

Installation

pip install cryptoserve-auto

How It Works

1. Intercepts outbound calls from popular libraries (requests, httpx, boto3)
2. Detects sensitive fields using patterns and field names
3. Encrypts data with quantum-ready algorithms before transmission
4. Logs all protected data flows for audit visibility

Configuration

import cryptoserve_auto

cryptoserve_auto.protect(
    # What to protect
    libraries=["requests", "httpx"],  # Default: all supported
    patterns=["pii", "financial"],     # Default: all patterns

    # How to protect
    encryption_key=key,                # Required: your encryption key
    mode="encrypt",                    # "encrypt" | "tokenize" | "log_only"

    # Behavior
    fail_open=True,                    # On error: pass through (True) or block (False)
    async_logging=True,                # Non-blocking audit logging
)

Supported Libraries

Library	What's Protected
requests	POST/PUT/PATCH body data
httpx	POST/PUT/PATCH body data
urllib3	Request bodies

More coming: boto3, stripe, psycopg2, sqlalchemy, redis

Sensitive Field Detection

Automatic patterns:

• SSN: XXX-XX-XXXX
• Credit cards: XXXX-XXXX-XXXX-XXXX
• Emails: [e-mail]
• Phone numbers

Field name detection:

• ssn, social_security, tax_id
• email, phone, address
• password, secret, api_key
• credit_card, card_number

Custom patterns:

cryptoserve_auto.protect(
    custom_patterns={
        "employee_id": r"EMP-\d{6}",
    },
    custom_fields=["internal_id"],
)

Escape Hatch

# Temporarily disable protection
with cryptoserve_auto.unprotected():
    requests.post(url, json=data)  # Not intercepted

Audit Logging

All protected data flows are logged:

{
  "timestamp": "2025-12-29T10:30:00Z",
  "library": "requests",
  "destination": "api.vendor.com",
  "fields_protected": ["email", "ssn"],
  "algorithm": "AES-256-GCM"
}

Performance

Operation	Overhead
Field detection	~5μs per field
Encryption	~50μs per KB
Total request overhead	<1ms

License

Apache 2.0