Model Scanning

Description

Model Scanning combines static and dynamic analysis to detect security gaps in AI models before deployment. It identifies threats such as embedded malware, tampering, and vulnerabilities in model dependencies.

Key Differentiators

• Static and dynamic scanning in a single flow
• Detection of embedded malware and vulnerabilities

Features

• Multi-engine static analysis
• Dynamic testing against known threat patterns
• Inspection of model files and runtime behavior

Use Cases

• Detect security gaps in AI models
• Prevent risks before deployment

Pricing

Deployment & Platforms

Compliance

Target Market