The most comprehensive AI security platform.

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April 17, 2026

HiddenLayer

AI security

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The most comprehensive AI security platform.

AI Security Secure AI Deployment Data Protection Runtime AI Security Attack Simulation Supply Chain Security

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Overview

HiddenLayer is a comprehensive AI security platform designed to protect AI assets and mitigate potential threats at every stage of the AI lifecycle. The platform features AI Discovery, which offers visibility into AI assets across multiple environments to prevent shadow AI - untracked or unapproved AI deployments.

It also includes AI Supply Chain Security to secure AI models before deployment by verifying their integrity and supply chain. Another feature, AI Runtime Security, is built to detect and respond to AI attacks without impacting production performance.

Furthermore, the platform provides an AI Attack Simulation to continuously stress test AI systems with adversarial simulations, effectively identifying weaknesses before they can be exploited by attackers.

The platform ensures secure AI rollouts, prompt attacks prevention, model extraction prohibition, and data leakage prevention. In addition, HiddenLayer offers a governance feature which aids in maintaining predictable, compliant, and policy-adherent AI across the enterprise.

It integrates with existing security and MLOps stack, making it an inclusive tool for AI security. It is designed to be model-agnostic, agentless, and requires zero training data to deploy.

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Cybersecurity

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Initial release

April 13, 2023

Initial release of HiddenLayer.

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AI security HiddenLayer

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Pros and Cons

Pros

Verifies model integrity

Minimal performance impact

Prompt attack prevention

Model extraction prohibition

Data leakage prevention

Supports policy adherence

Integration with MLOps stack

Model-agnostic capabilities

Agentless operation

No training data required

Compliance management feature

Automates threat mitigation

Built-in IP protection

Policy enforcement mechanisms

Risk classification system

Prevents unauthorized tool usage

Natively integrates with existing systems

Visibility across multiple environments

Detects malicious models, backdoors

Protects against prompt injection

Compatible with any architecture

Maintains secure operational standards

Identifies vulnerabilities before attackers do

Scans models for malware, vulnerabilities

Improves enterprises' operational security

Integrates with cloud, CI/CD, data platforms

View 21 more pros

Cons

Requires Webflow Input Enhancer

No explicit privacy protection

Lack of transparency on methodology

Possibly high resource consumption

No clear error handling approach

Specific industry customizations unclear

In-depth integration complexity

Undefined attack detection time

No stated performance metrics

No explicit user access control

View 5 more cons

Q&A

What is HiddenLayer?

HiddenLayer is a comprehensive AI security platform. It is designed to protect AI assets and mitigate potential threats at every stage of the AI lifecycle.

What does HiddenLayer do?

HiddenLayer offers a range of AI security features, designed to protect AI assets and minimize potential threats throughout the AI lifecycle. These include AI Discovery, to identify and track AI assets across multiple environments; AI Supply Chain Security, to ensure the integrity of AI models before they are deployed; and AI Runtime Security, to identify and respond to AI attacks without disrupting performance. HiddenLayer also provides an AI Attack Simulation feature to stress test AI systems with adversarial simulations and AI Governance to help maintain policy-adherent, compliant AI systems.

What do key features of HiddenLayer include?

Key features of HiddenLayer include AI Discovery, AI Supply Chain Security, AI Runtime Security and AI Attack Simulation. AI Discovery offers visibility into AI assets across multiple environments to prevent shadow AI. AI Supply Chain Security verifies the integrity of AI models before deployment. AI Runtime Security detects and responds to AI attacks. AI Attack Simulation allows continuous stress testing of AI systems with adversarial simulations.

What is AI Discovery in HiddenLayer?

AI Discovery in HiddenLayer offers visibility into all AI assets deployed across multiple environments. Its purpose is to prevent unauthorized or untracked AI deployments, also known as Shadow AI.

How does HiddenLayer discover Shadow AI?

HiddenLayer discovers Shadow AI by providing visibility into AI assets across various operational environments. It builds an inventory of AI assets, designed to track and prevent untracked or unapproved AI deployments.

Can HiddenLayer secure AI models before deployment?

Yes, HiddenLayer can secure AI models before deployment. Their AI Supply Chain Security feature ensures models being utilized are secure by checking their integrity and examining their supply chain before deployment.

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What is AI runtime security?

AI runtime security is a feature of HiddenLayer designed to detect and respond to AI attacks in real time, without disrupting production performance. This element of the platform is purpose built to identify and neutralize potential AI threats quickly and efficiently.

How does HiddenLayer respond to AI attacks?

HiddenLayer responds to AI attacks using its AI Runtime Security feature. This feature is designed to detect and respond to AI threats without impacting production performance, ensuring a seamless and consistent operational workflow.

What is AI Attack Simulation in HiddenLayer?

AI Attack Simulation in HiddenLayer is a feature that routinely stress tests AI systems to identify and fix vulnerabilities before they might be exploited. It simulates potential AI attacks, testing the resistance and resilience of the AI systems to adversarial simulations.

How does HiddenLayer ensure secure AI rollouts?

HiddenLayer ensures secure AI rollouts by providing comprehensive protection and testing at every stage of the AI lifecycle. Their AI Supply Chain Security verifies the integrity of AI models before deployment and AI Runtime Security feature provides real-time protection from AI attacks during operation.

How does HiddenLayer prevent data leakage?

HiddenLayer prevents data leakage through its comprehensive AI security features. It secures AI models, tests them for vulnerabilities and actively mitigates attacks during runtime, ensuring the assets and the data they generate and handle are securely contained.

What is the AI governance feature in HiddenLayer?

The AI governance feature in HiddenLayer assists an enterprise in maintaining a predictable, compliant, and policy-adherent AI infrastructure. It supports proper oversight, and alignment with regulatory requirements for deploying and managing AI assets.

How does HiddenLayer integrate with my existing security and MLOps stack?

HiddenLayer integrates with an existing security and MLOps stack via native connectors. It seamlessly works with your current operations and security systems, offering comprehensive AI security without disrupting your existing framework.

Is HiddenLayer model-agnostic?

Yes, HiddenLayer is model-agnostic. This means it has been designed to work efficiently with any mix of machine learning or AI models, regardless of their specific design or underlying algorithms.

What does agentless security mean in case of HiddenLayer?

In HiddenLayer, agentless security refers to its capability to provide security solutions without the need for installing additional software agents on the assets it is protecting. This minimizes impact on system performance while delivering reliable AI security.

Does HiddenLayer require any training data to deploy?

HiddenLayer does not require any training data to deploy. It has been designed to immediately integrate into your system and start delivering AI security without the need for a historical dataset for training the system.

Can HiddenLayer work across multiple environments?

Yes, HiddenLayer can operate across multiple environments. Its AI Discovery feature has been designed to provide visibility into AI assets deployed across a wide range of environments, thus helping it protect from Shadow AI and provide consistent AI security.

How does HiddenLayer ensure compliance management?

HiddenLayer ensures compliance management using its governance feature. This is designed to help organizations maintain predictable, compliant, and policy-adherent AI across the business, ensuring AI systems meet security, regulatory, and operational standards at scale.

What measures does HiddenLayer take for threat mitigation?

HiddenLayer takes a proactive approach to threat mitigation. This includes securing AI models before deployment by verifying their integrity, detecting and responding to AI attacks in real time, and continuously testing AI systems with adversarial simulations to uncover vulnerabilities early. This multi-layered approach helps to identify and mitigate potential threats at various stages of the AI lifecycle.

How can HiddenLayer help prevent unauthorized AI deployments?

HiddenLayer helps prevent unauthorized AI deployments, known as Shadow AI, by offering visibility into AI assets across multiple environments. This is achieved through its AI Discovery feature, which builds a comprehensive inventory of AI assets, helping to track and prevent unauthorized or unapproved AI deployments.

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