MLSECOPS SOLUTION
MLSecOps Solution
End-to-end governance and secure delivery for AI/ML components
Bring ML and generative-AI models, datasets and dependencies into the same secure supply chain as software. Through unified storage, versioning and security scanning, AI delivery gains the same traceability, governance and trust—extending DevSecOps practices to MLOps.
FEATURES
What's inside
Managed models
Store and version models and datasets as managed artifacts.
Model security scans
Run vulnerability and compliance scans on models and dependencies.
Provenance
Record model origin, version and dependencies for audit.
Unified platform
MLOps and DevSecOps share one governance foundation.
Key capabilities
- Managed, versioned models / datasets
- Security scanning of models and dependencies
- Provenance and impact tracing for AI components
- Unified MLOps and DevSecOps governance
Use cases
Trusted AI releases
Apply security and compliance gates to model delivery.
Third-party model governance
Bring external models under a controlled supply chain.
AI audit & compliance
Retain auditable security evidence for AI assets.
Want this in production?
Talk to Xdata for selection advice, licensing and end-to-end implementation.