secureaiml 0.1.3

Enterprise-Ready AI Model Security built on OpenSSF Model Signing

SecureML

AI Model Security built on OpenSSF Model Signing

SecureML is the "Stripe for model security" - making enterprise-grade AI model protection accessible, user-friendly, and production-ready for every organization.

Quick Start

pip install secureaiml

from secureml import SecureModel
import joblib

# Load your model
model = joblib.load("model.pkl")

# Secure it in one line
secure_model = SecureModel(model)
secure_model.sign_and_save("model.sml", identity="[e-mail]")

# Load and verify
verified_model = SecureModel.load("model.sml", verify=True)
predictions = verified_model.predict(X_test)

Features

• 🎯 Universal Model Support (XGBoost, PyTorch, TensorFlow, scikit-learn, LLMs)
• 🔒 Built on OpenSSF Model Signing Standards
• ⚡ Simple, Pythonic API
• 🛡️ Model Watermarking for IP Protection

Documentation

Full documentation available at: https://github.com/OWASP/SecureML

License

Apache 2.0 - See LICENSE for details