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AI security

HiddenLayer ✓

The most comprehensive AI security platform.

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AI Security Secure AI Deployment Data Protection
More categories (4)
Runtime AI Security Attack Simulation Supply Chain Security AI security
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Verdict

A quick read before you dig into the full page.

Best if
The most comprehensive AI security platform
Skip if
Requires Webflow Input Enhancer
Pick this when
Verifies model integrity

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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.

HiddenLayer website

Access & connections

Where you can use HiddenLayer.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Tabular

Output

  • Tabular
  • API

Supported features

  • Cybersecurity

Pros & 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
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  • 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

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
Show 2 more
  • No stated performance metrics
  • No explicit user access control

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Releases 1

Initial release April 13, 2023 Current
Initial release of HiddenLayer.

FAQ 12

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.
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.
HiddenLayer
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