AI Supply Chain Security SaaS

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AI Supply Chain Security SaaS leverages the HiddenLayer AI Security Platform Supply Chain to analyze Machine Learning Models. No deployment necessary.

HiddenLayer Supply Chain analyzes Machine Learning Models to identify hidden cybersecurity risks and threats such as malware, vulnerabilities, and integrity issues. Its advanced scanning engine is built to analyze your machine learning models, meticulously inspecting each layer and component to detect possible signs of malicious activity, including malware, tampering, and backdoors.

Supply Chain SaaS is designed for discrete scanning requests. You have the option to either upload a model file to the HiddenLayer Console or to send the model file to the SaaS endpoint (via HiddenLayer SDK or REST). The model file is then scanned by the Supply Chain, the results are returned to the Console and display in the your tenant. Because Supply Chain SaaS leverages the Supply Chain, you do not need to run any Supply Chain containers in your environment.

Availability

HiddenLayer's SaaS product (AI Security Platform) is available via Amazon AWS. This provides high availability and disaster recovery for each region the product is available in.

• US Region

  • Hosted in the us-east-1 AWS region.
  • Inside that region, workflows spread across three availability zones for high availability within that single region.

• EU Region

  • Hosted in the eu-central-1 AWS region.
  • Inside that region, workflows spread across three availability zones for high availability within that single region.

• Each region:

  • Is an isolated deployment structure, so they are not considered as a multi-regional, high availability structure.
  • Each region is a high availability and disaster recovery structure for the region it is available in.
  • Each region is designed for data residency and latency for customers, based on their location.

For more information about AWS regions and availability zones, see this AWS document.

Architecture

Supply Chain efficiently handles large ML models by utilizing an asynchronous task queue pattern.