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RADIUMFOXSecurity
AI Supply Chain Security

Trust Your Model's DNA

An AI model is only as secure as the data it was trained on. We validate datasets, audit third-party models, and secure the MLOps pipeline.

STEP 01

Data Ingestion

STEP 02

Model Training

STEP 03

Model Registry

STEP 04

Deployment

Dataset Poisoning Detection

Analyze training data for statistical anomalies and backdoor triggers injected by adversaries.

Model SBOMs

Generate a Software Bill of Materials for your AI models, tracking every library, weight, and dataset used.

Hugging Face Audits

Scan open-source models from Hugging Face for embedded malware (pickles) and vulnerabilities.

MLOps Pipeline Security

Secure your CI/CD pipelines for ML, ensuring integrity from code commit to model deployment.

Model Signing & Provenance

Cryptographically sign models to prevent unauthorized tampering or substitution in production.

Vendor Risk Assessment

Evaluate the security posture of third-party AI APIs (OpenAI, Anthropic) and their data handling practices.