AI Supply Chain Security analyzes Machine Learning Models to identify malware, vulnerabilities, and integrity issues.
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 provides users with the freedom to deploy and run a model scanning tool on their infrastructure, whether it be on physical servers, cloud services, or in a secure, isolated environment without internet connectivity (air-gapped). This level of control is valuable for organizations with specific security, compliance, or operational requirements.
Supply Chain deployment types are:
- Supply Chain SaaS: Uses HiddenLayer's AI Security Platform Supply Chain
- Supply Chain Self-Hosted: Runs the Supply Chain CLI container in your environment; self-hosted containers are available as:
See Feature Comparison for a comparison of the different Supply Chain offerings.
Read the latest Supply Chain release notes.
- HiddenLayer Supply Chain - YouTube Video
- HiddenLayer Supply Chain - Enhance Model Security
- HiddenLayer Supply Chain - Innovation Hub
- MITRE ATLAS: The Intersection of Cybersecurity and AI | HiddenLayer
- Weaponizing ML Models with Ransomware | HiddenLayer
- Machine Learning is the New Launchpad for Ransomware | HiddenLayer
- Pickle Files: The New ML Model Attack Vector | HiddenLayer
- Machine Learning Models are Code | HiddenLayer