Model ScannerModel Scanner
Secure your AI supply chain by identifying malicious code, hidden vulnerabilities, and unsafe agent behavior before deployment.
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Attackers can exploit vulnerabilities in your AI supply chain
Significant risks in model training, code, dependencies, and deployment can lead to data leaks and remote code execution.
Deserialization Vulnerabilities (CWE-502)
- Unsafe deserialization detected
- Unsafe pickle opcode detected
- Potential pickle attack pattern
Module Import Vulnerabilities (CWE-506)
- Dangerous module reference detected
- Unsafe module import
- Module reference found in the __reduce__ method
Network Vulnerabilities (CWE-924)
- Suspicious network activity detected
- External network request detected
- URL embedded in pickle file
Code Execution Vulnerabilities (CWE-94)
- Generic code execution vulnerability
- Dynamic code execution detected
- Code object embedded in pickle file
Model-Specific Issues (CWE-506 and CWE-1294)
- Suspicious keys in state dictionary
- Tensor with invalid values (NaN or Inf)
- Tensor with extreme values
- Tensor with suspicious value distribution
File Integrity and Corruption (CWE-1294)
- File corruption detected
- Invalid pickle format
- Pickle load error
File System Vulnerabilities (CWE-22)
- Unauthorized file system access
- File not found (unexpected reference)
Data Exfiltration Vulnerabilities (CWE-200)
- Data exfiltration vulnerability detected
Perform deep inspection across multiple layers
Model Scanner inspects your full stack, from model weights to preprocessing scripts, to surface security issues early.
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Model & artifact security
Detect corrupted models, poisoned tensors, and unsafe serialization artifacts that signal hidden threats.
Dependency analysis
Identify dynamic execution risks, unsafe deserialization, and dangerous imports in model-linked code and files.
Integrity checks
Verify artifact integrity across environments with cryptographic and fuzzy hashes to prevent drift.
Framework mapping
Map risks to OWASP, MITRE, CWE, and AI-specific frameworks to support compliance.
Integrate with CI/CD model respositories
NeuralTrust´s model scanner can automatically identify changes in your model across providers
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Diagnose your AI systems in minutes
Do not leave vulnerabilites uncovered, make sure your LLMs are secure and reliable
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