HiddenLayer Model Scanner is designed to secure the AI supply chain by detecting hidden risks in third-party and proprietary models before they enter production. It provides comprehensive inspection of machine learning models and agent frameworks to eliminate blind spots, reduce risk, and maintain enterprise trust from development through deployment. By establishing a trusted baseline, Model Scanner streamlines compliance and accelerates innovation without compromising security.

Features

• Comprehensive Model Inspection: Scans models for malware, tampering, and backdoors before deployment.
• Supply Chain Risk Mitigation: Detects malicious payloads, unsafe dependencies, and vulnerabilities in pre-trained models from public repositories like Hugging Face or GitHub.
• Agentic Workflow Security: Inspects agent frameworks and toolchains for hidden risks and unsafe execution paths.
• Governance & Compliance Support: Provides actionable insights to meet regulatory requirements and enterprise risk management standards.
• Integration Efficiency: Reduces bottlenecks in securing models and agent frameworks, enabling faster experimentation and deployment.
• Visibility Across AI Lifecycle: Offers deep insight into vulnerabilities across models and agent workflows to prevent breaches and compliance failures.

Benefits

• Enhanced Security & Peace of Mind: Eliminates blind spots and ensures trusted AI adoption.
• Improved Mitigation: Accelerates remediation decisions with actionable insights into malicious code and unsafe paths.
• Accelerated Innovation: Enables faster AI adoption and measurable business value without sacrificing security.
• Enterprise Resilience: Protects intellectual property and safeguards investments against adversarial attacks.
• Streamlined Compliance: Supports governance and regulatory adherence across the AI lifecycle.