AI Supply Chain Security
Aspen Scan secures your AI supply chain by scanning and verifying AI models, datasets, and dependencies for hidden vulnerabilities, backdoors, and malicious payloads. As organizations increasingly rely on pre-trained models and third-party datasets, supply chain security becomes critical to maintaining AI system integrity.
Key Features
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Model Integrity Scanning:
Scan AI models for hidden backdoors, trojans, and malicious modifications before deployment. Aspen Scan analyzes model weights, architectures, and behaviors to detect supply chain compromises.
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Dataset Validation:
Verify the integrity and safety of training datasets. Detect data poisoning, label manipulation, and embedded malicious content that could compromise model behavior when trained.
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Dependency Analysis:
Map and analyze your AI dependency tree including ML frameworks, model registries, and third-party libraries. Identify known vulnerabilities and license compliance issues across your AI stack.
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Model Registry Integration:
Seamlessly integrate with popular model registries like Hugging Face, AWS SageMaker, and Azure ML. Automatically scan models as they are downloaded or promoted through your deployment pipeline.
Benefits
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Trust but Verify:
Don't blindly trust pre-trained models or third-party datasets. Aspen Scan gives you the tools to verify the safety and integrity of every component in your AI pipeline before it reaches production.
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Prevent Supply Chain Attacks:
AI supply chain attacks are growing in sophistication. Aspen Scan provides defense-in-depth against model poisoning, dependency hijacking, and registry compromise.
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Automated Pipeline Security:
Integrate scanning into your ML pipeline with CI/CD plugins and API-first architecture. Automatically gate deployments based on security scan results.
Secure your AI supply chain from source to production with Aspen Scan. Ensure every model, dataset, and dependency that enters your AI infrastructure has been verified for safety and integrity.