Supply Chain AI Component Detection¶
As Artificial Intelligence becomes commonplace in any custom software development, your AI Components become increasingly important aspects of your Software Supply Chain Inventory. Being able to identify where your development teams are implementing AI and if their implementation carries unnecessary risk is quickly becoming vital for any software security program.
Boostsecurity's Supply Chain AI Component Detection is a key piece of your Application Security Posture Management picture, empowering you with knowledge of where AI is being leveraged in your source code, and if there are known risks within your implementations or language models.
Supported Languages and Libraries/Hubs¶
The following table lists the AI libraries and hubs supported across different programming languages. A checkmark (✅) indicates support for the respective language.
| Library | Python | Java | Go | JavaScript (JS) | C# | R |
|---|---|---|---|---|---|---|
| Anthropic | ✅ | ✅ | ||||
| CatBoost | ✅ | ✅ | ✅ | ✅ | ||
| DeepSeek | ✅ | ✅ | ||||
| H2O | ✅ | ✅ | ✅ | |||
| Hugging Face Hub | ✅ | ✅ | ||||
| Joblib | ✅ | |||||
| Kaggle Hub | ✅ | |||||
| Keras Hub | ✅ | |||||
| Meta Llama | ✅ | ✅ | ✅ | ✅ | ||
| MLFlow | ✅ | |||||
| Neptune AI | ✅ | |||||
| Ollama | ✅ | ✅ | ||||
| ONNX | ✅ | |||||
| OpenAI / AzureOpenAI | ✅ | ✅ | ✅ | ✅ | ✅ | |
| Pickle | ✅ | |||||
| PyTorch | ✅ | |||||
| PyTorch Hub | ✅ | |||||
| PyCaret | ✅ | |||||
| Scikit Learn Skops | ✅ | |||||
| Spark | ✅ | |||||
| TensorFlow | ✅ | ✅ | ✅ | |||
| TensorFlow Hub | ✅ | |||||
| Ultralytics | ✅ | |||||
| VertexAI | ✅ | ✅ | ✅ | |||
| Weights & Biases | ✅ | |||||
| XGBoost | ✅ |