Model Scanner

Secure your AI Supply Chain

Ensure safe adoption of AI by detecting hidden risks in third-party and proprietary models

Scan models for malware, tampering, and backdoors before they enter production. Protect intellectual property, reduce supply chain risk, and safeguard enterprise trust from development through deployment.

The Challenges

Securing AI

In the ever-evolving world of agentic, generative, and predictive AI systems, new risks emerge daily. Public repositories often contain models and tools seeded with malware, backdoors, and poisoned data, while organizations lack visibility into vulnerabilities hidden within both models and agentic workflows. These blind spots create friction in deployment, slow innovation, and expose enterprises to adversarial attacks that erode trust. To stay secure and agile, enterprises need AI-specific defense strategies that reduce risk, ensure compliance, and maintain resilience.

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Public Repository Risks

Pre-trained models from sources like Hugging Face or GitHub may carry malicious payloads or insecure serialization formats. Without inspection, these risks can infiltrate enterprise environments, creating new supply chain attack vectors.

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Lack of Visibility

Organizations struggle with limited insight into vulnerabilities across both models and agent toolchains. This leaves hidden risks unmonitored—raising the likelihood of breaches, compliance failures, and costly incidents.

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Model & Agentic Integration Bottlenecks

Securing models and agent frameworks is resource-intensive, slowing experimentation, training, and deployment. These inefficiencies increase time-to-market and regulatory exposure, while adversaries adapt faster than defenses evolve.

Our Approach

Detect. Decide. Innovate.

HiddenLayer’s Model Scanner gives security leaders the visibility and control to govern AI supply chains with confidence. By detecting malware, tampering, and hidden vulnerabilities before deployment, it establishes a trusted baseline that streamlines compliance, safeguards enterprise AI investments, and empowers teams to innovate securely at speed.

white shield and blue pad lock

Enhanced Security

Peace of Mind

Eliminate blind spots with comprehensive inspection of agent frameworks and machine learning models from public repositories. Detect malicious payloads, unsafe dependencies, and hidden vulnerabilities before they reach production–supporting governance, compliance, and enterprise risk management.

Blue clock

Improved Mitigation

Save Time, Reduce Risk

Leverage actionable insights into malicious code and unsafe execution paths. Make faster, more informed remediation decisions to secure both agent and model workflows—ensuring resilience and streamlined compliance across the AI lifecycle.

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Accelerated Innovation

Prioritize Essentials

Confidently download, test, and deploy agents and models while maintaining supply chain integrity. Enable faster AI adoption and measurable business value—empowering teams to innovate without sacrificing security.

Model Scanner UI

Protect your AI supply chain by detecting malicious code, hidden vulnerabilities, and unsafe agent behaviors before deployment—safeguarding enterprise investments, streamlining compliance, and enabling faster innovation with trust and confidence.

Learn more about Model Scanner.

85%

of companies are using pre-trained models from public repositories to jumpstart innovation

According to recent HiddenLayer research

Why HiddenLayer

The most comprehensive security platform for AI

HiddenLayer, a Gartner-recognized AI Security company, is the only platform purpose-built to secure AI models and autonomous agents alike. Covering agentic, generative, and predictive AI applications, HiddenLayer protects the world’s most valuable technologies across the entire lifecycle—ensuring compliance, safeguarding IP, and strengthening enterprise resilience, while aligning with leading frameworks such as NIST RMF, MITRE ATLAS, ISO 42001, and the EU AI Act.

Malware Analysis — SScans AI models for embedded malicious code that could serve as an infection vector or launchpad, preventing your models from becoming a backdoor.
Model Integrity — Analyzes layers, components, and tensors to detect tampering or corruption, ensuring models remain trustworthy over time.
Comprehensive Analysis — Combines static inspection, dynamic behavioral analysis, and machine learning techniques to detect adversarial manipulations across a broad library of attack types.

Supply Chain Protection — Validates pre-trained, open-source, and third-party models are free of hidden risks before adoption, reducing supply chain exposure.
Baseline Assurance — Catalogs a known-good state of your AI models, making it easier to spot unauthorized changes and streamline audits.
Broad Format Support — Secures models in all major industry-standard formats, including Cloudpickle, Dill, GGUF, HDF5, JobLib, Keras, NeMo, Numpy, ONNX, PyTorch, Pickle, R, Safetensors, Skops, TensorFlow, and Zip. exposure.

The Latest From HiddenLayer

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How can we secure your AI?

Start by requesting your demo and let’s discuss protecting your unique AI advantage.

Book a demo Contact Us

HiddenLayer, a Gartner-recognized Cool Vendor for AI Security, is the leading provider of Security for AI. Its AISec Platform unifies supply chain security, runtime defense, posture management, and automated red teaming to protect agentic, generative, and predictive AI applications. The platform enables organizations across the private and public sectors to reduce risk, ensure compliance, and adopt AI with confidence.

Founded by a team of cybersecurity and machine learning veterans, HiddenLayer combines patented technology with industry-leading research to defend against prompt injection, adversarial manipulation, model theft, and supply chain compromise. The company is backed by strategic investors including M12 (Microsoft’s Venture Fund), Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures.