Prevent risk before it enters your stack

AI models don’t just process risk - they can also carry it. Whether your teams are deploying open-source models, fine-tuning foundation models, or building their own, you need to know what you’re putting into production.

Scan models before deployment, so you can identify threats early and avoid surprises later.

Static & dynamic scanning in a single flow

Combine multi-engine static analysis with dynamic testing against known threat patterns. Together, these methods give you both structural and behavioral insights so you understand not just what the model is, but what it might do.

Detect security gaps in model assets

Inspect model files, weights, and runtime behavior to surface threats you can’t catch with traditional tools. Detect embedded malware, known vulnerabilities in model dependencies, signs of tampering, and unexpected behavior triggered by edge-case inputs.