Scan and validate every AI model

Identify malware, vulnerabilities, backdoors, and integrity issues in proprietary, open source, and vendor models.

An airplane is flying in the sky at night.

Trusted by Industry Leaders

AI supply chain risk is growing

Organizations increasingly adopt open source or third party models, many of which contain unknown components, vulnerabilities, or malicious artifacts.

Open source models may hide malicious code

Attackers embed backdoors or malware inside model files that evade traditional scanning tools.

Inherited vulnerabilities increase exposure

Reused model components or transfer learning can unintentionally import known CVEs or corrupt layers.

Comprehensive scanning for model safety

Malware and Exploit Detection

Identify malicious code inside model files that may serve as infection vectors.

Vulnerability Assessment

Detect CVEs and zero day vulnerabilities present in dependencies or embedded components.

Model Integrity and Genealogy

Analyze layer structure, tensors, and lineage to detect corruption or inherited risks.

Analyze layer structure, tensors, and lineage to detect corruption or inherited risks.

Generate a standards based inventory of all model components for compliance and audit readiness.

Benefits

Ensure trust in every model you deploy

Protect your model lifecycle with deep supply chain insights.

Secure open source and vendor models

Scan URLs directly from model hubs.

Prevent inherited vulnerabilities

Avoid pulling unsafe components into production.

Improve proprietary model integrity

Detect corruption across layers and tensors.

Maintain regulatory compliance

Generate model component inventories required for audits.

Protect intellectual property

Ensure your models are safe, intact, and production ready.

The Data Backs Us Up

75
%
+

Reduction in exposure to AI exploits

50
+
𝘊𝘝𝘌𝘴

Disclosed through our security research

25
%
+

Issued patents

"As enterprises embrace AI, security can’t be an afterthought. HiddenLayer makes it possible for CISOs to lead with confidence and keep innovation secure."

Tomas Maldonado

CISO, NFL

"Securing AI requires protection across the entire lifecycle. HiddenLayer delivers end-to-end visibility and defense so CISOs can safeguard AI at every stage."

Jerry Davis

Founder, Gryphon X

"Strong governance is critical as AI becomes embedded across enterprises. HiddenLayer provides the comprehensive framework needed to manage risk and align AI adoption with visibility, compliance, and accountability."

Gary McAlum

Prior CISO, AIG

"The integrity of AI systems is as critical as the integrity of our software supply chains. If we can't secure the building blocks of AI, we risk exposing enterprises to new classes of attack. HiddenLayer is tackling this problem at its root, delivering the protections the world needs most."

Thomas Pace

Co-Founder & CEO, NetRise

"AI introduces risks that traditional cybersecurity tools weren't built to handle. HiddenLayer's comprehensive platform consolidates what CISOs need to manage and defend the critical AI tools that enable the business."

Timothy Youngblood

CISO in Residence, Astrix Security

"One of the elements that impresses me about HiddenLayer is the elegance of their technology. Their non-invasive AIDR solution provides robust, real-time protection against adversarial attacks without ever needing to access a customer's sensitive data or proprietary models. This is a game-changer for enterprises in regulated industries like finance and healthcare, as well as federal agencies, where data privacy is paramount."

Doug Merritt Chairman

CEO & President at Aviatrix and prior CEO at Splunk

"AI security demands purpose-built technology and trusted partners to counter AI attack vectors. HiddenLayer arms CISOs with a comprehensive platform to identify and manage AI-specific risks, enabling organizations to innovate with confidence and at the speed of modern business."

Josh Lemos

CISO, GitLab

Resources

Learn from the Industry’s AI Security Experts

Research, guidance, and frameworks from the team shaping AI security standards.

insights

Why Traditional Cybersecurity Won’t “Fix” AI

When an AI system misbehaves, from leaking sensitive data to producing manipulated outputs, the instinct across the industry is to reach for familiar tools: patch the issue, run another red team, test more edge cases.

report and guide

2026 AI Threat Landscape Report

webinar

HiddenLayer Webinar: 2024 AI Threat Landscape Report

Secure your AI supply chain

Scan and validate every AI model before it reaches production.