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
1 maintainer
Metadata
1 maintainer
Release files for secureaiml 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| secureaiml-0.1.3.tar.gz | 36.0 kB | With provenance | Details for secureaiml-0.1.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| secureaiml-0.1.3-py3-none-any.whl | Python 3 | none | any | Details for secureaiml-0.1.3-py3-none-any.whl |
Total release size: 78.9 kB
Release files / secureaiml-0.1.3.tar.gz
| Download URL | secureaiml-0.1.3.tar.gz |
|---|---|
| Size | 36.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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Provenance
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Signed by GitHub Actions, verified by PyPI on Dec 25, 2025.
Transparency logRelease files / secureaiml-0.1.3-py3-none-any.whl
| Download URL | secureaiml-0.1.3-py3-none-any.whl |
|---|---|
| Size | 42.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
f6db3c5950d76a949570d4571179f9a860d2dcb4deaebd030d95f32d7dc620fe
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Dec 25, 2025.
Transparency logSecurity for secureaiml 0.1.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for secureaiml-0.1.3.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Dec 25, 2025.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
