Enterprise-Ready AI Model Security built on OpenSSF Model Signing
Project description
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="ml-team@company.com")
# 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
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