AI Security
Expert
AI Supply Chain Security
AI supply chain security covers securing the end-to-end pipeline of AI development, from training data sourcing to model deployment and inference. Threats include poisoned training data, malicious model weights distributed through public registries, compromised ML dependencies, and insecure model serving infrastructure.
Key Capabilities
- Training data integrity verification and provenance
- Model signing and supply chain attestation
- ML dependency scanning (pip, conda, HuggingFace)
- Model registry access control and auditing
- Detecting backdoors and trojans in pre-trained models
Tags
AI Security Supply Chain MLSecOps Model Security Training Data