arsbr/Veritensor

The Anti-Virus for AI Artifacts & RAG Firewall. A static analysis tool scanning Models and Notebooks for RCE, Datasets and RAG docs for Data Poisoning, PII, and Prompt Injections. Secure your AI Supply Chain.

49
/ 100
Emerging

Veritensor helps AI teams and security professionals protect their machine learning models, training data, and RAG documents from various digital threats. It takes in AI artifacts like model files, datasets, and Jupyter notebooks, and identifies risks such as malicious code, data poisoning, prompt injections, and sensitive personal information. The output is a clear scan report indicating any detected threats, allowing users to secure their AI systems before deployment.

Used by 1 other package. Available on PyPI.

Use this if you need to ensure the security and integrity of your AI models, datasets, and RAG documents throughout your development and deployment pipeline, from data ingestion to model release.

Not ideal if you are looking for a traditional software static analysis tool focused solely on application code rather than AI-specific artifacts.

AI-security MLOps-security data-poisoning-prevention prompt-injection-defense RAG-pipeline-security
Maintenance 10 / 25
Adoption 9 / 25
Maturity 22 / 25
Community 8 / 25

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Stars

67

Forks

4

Language

Python

License

Apache-2.0

Last pushed

Mar 09, 2026

Commits (30d)

0

Dependencies

6

Reverse dependents

1

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