Assess model risk
before deployment
Evaluate AI models for security, provenance and trust before enterprise use.
Build confidence in every model
Understand the source
Review model origin and risk before teams adopt it.
Go beyond static checks
Include adversarial testing in a consistent approval process.
Test models before you trust them
Explore five capabilities for model review and approval.
Model Risk & Trust Assessment
Review model suitability and risk before enterprise adoption.
Static Model Analysis
Inspect metadata, licensing and compliance considerations.
Provenance & Identity Checks
Check model source, ownership and permitted use.
Dynamic Red Teaming
Probe jailbreaks, misuse and unsafe responses.
Model Approval Workflows
Keep review evidence and approvals together.
Make model approvals repeatable
Consistent governance
Use a repeatable approval process.
Faster adoption
Move reviews forward with shared evidence.
Lower exposure
Flag unvalidated models before deployment.
Evidence for compliance
Support security, legal and compliance reviews.
Years of Compliance Expertise
Enterprise Deployments
Companies Trust Us
Review your models.
Plan your next step.
Discuss model assessment and deployment options with the Promshield team.