HiddenLayer AI Security Platform

The HiddenLayer AI Security Platform is a comprehensive solution designed for enterprises seeking to secure AI applications across their lifecycle.

Reviewed by 7wData
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The HiddenLayer AI Security Platform is a comprehensive solution designed for enterprises seeking to secure AI applications across their lifecycle. It combines model integrity scanning, runtime AI detection and response, and red teaming into a single platform, making it ideal for organizations with a broad AI portfolio. The platform is particularly suited for enterprises that require mature integration with major MLOps and security stacks, as well as those looking to leverage patented technology and expert-driven adversarial AI research.

HiddenLayer supports agentic, generative, and predictive AI applications, ensuring robust security controls from development to deployment. The platform’s focus on AI Discovery, AI Supply Chain Security, AI Attack Simulation, and AI Runtime Security provides a holistic approach to AI risk management. HiddenLayer’s ability to prevent thousands of adversarial attempts without a single successful bypass, as demonstrated at DEF CON, underscores its effectiveness in real-world scenarios.

The platform’s integration with Microsoft Azure AI further enhances its capabilities, making it a trusted choice for enterprises committed to safeguarding their AI investments. HiddenLayer’s recognition as a Cool Vendor by Gartner in 2024 highlights its innovative approach and market relevance. However, the platform’s value is maximized when adopted end-to-end, as standalone capabilities like model scanning are less differentiated compared to specialized tools like ModelScan. Enterprises must also be prepared for the initial setup effort, which involves mapping AI usage, data flows, and internal tools to fully leverage the platform’s dashboard content.

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How it works

  1. Model Integrity Scanning

    Scans AI models for vulnerabilities, ensuring they are free from malicious code and unsafe operators.

  2. Runtime AI Detection

    Monitors AI applications in real-time, detecting and responding to adversarial attacks during execution.

  3. Red Teaming

    Simulates adversarial attacks to identify vulnerabilities and strengthen AI security defenses.

  4. AI Discovery

    Identifies all AI applications and models within an enterprise, providing visibility into AI usage.

  5. AI Supply Chain Security

    Secures the AI supply chain by validating model integrity and ensuring compliance with security policies.

  6. AI Attack Simulation

    Conducts simulated attacks to test the resilience of AI systems and improve security measures.

  7. AI Runtime Security

    Provides continuous monitoring and protection for AI applications during their operational phase.

Strengths and trade-offs

Strengths

  • HiddenLayer combines model scanning, runtime defense, and red teaming into a single platform, reducing vendor complexity.
  • The platform’s patented technology and expert-driven research ensure cutting-edge detection of adversarial AI threats.
  • HiddenLayer integrates maturely with major MLOps and security stacks, enhancing its usability in enterprise environments.
  • The platform demonstrated its effectiveness by preventing thousands of adversarial attempts without a single bypass at DEF CON.

Trade-offs

  • HiddenLayer’s standalone model scanning is less differentiated compared to specialized tools like ModelScan.
  • The platform’s enterprise pricing model assumes a broad AI portfolio, which may not suit smaller organizations.
  • HiddenLayer requires full mapping of AI usage, data flows, and internal tools, which can be time-consuming.
  • The platform needs to be heavily tuned to align with specific business use cases to maximize its dashboard content.

Pricing context

Enterprise pricing

Getting started with HiddenLayer AI Security Platform

  1. Sign up

    Contact HiddenLayer to request access to the AI Security Platform. Provide your enterprise details to initiate the onboarding process.

  2. Connect data

    Integrate your MLOps and security stacks with HiddenLayer. Map your AI applications, models, and data flows to the platform.

  3. Configure scanning

    Set up Model Integrity Scanning to detect vulnerabilities in your AI models. Define scanning parameters and policies.

  4. Run simulation

    Initiate AI Attack Simulation to test your AI systems. Analyze results to identify and address security gaps.

  5. Monitor runtime

    Enable Runtime AI Detection to monitor AI applications in real-time. Configure alerts and response mechanisms for detected threats.

Frequently Asked Questions

What is HiddenLayer AI Security Platform?

HiddenLayer provides comprehensive security for AI applications across their lifecycle. It combines model scanning, runtime threat detection, and red teaming into one platform. Designed for enterprises, it protects generative, predictive, and agentic AI with patented technology and integrates with major MLOps stacks.

How does HiddenLayer protect against AI attacks?

The platform detects adversarial attacks in real-time during AI execution and scans models for vulnerabilities. Its red teaming feature simulates attacks to strengthen defenses. HiddenLayer prevented thousands of attack attempts without a single bypass at DEF CON, demonstrating robust protection.

What types of AI does HiddenLayer secure?

HiddenLayer secures agentic AI, generative AI, and predictive AI applications. The platform covers the entire AI lifecycle, from development to deployment, with features like model integrity scanning, supply chain security, and runtime protection.

What are HiddenLayer's main limitations?

Standalone model scanning is less differentiated than specialized tools. Enterprise pricing suits large AI portfolios but may not fit smaller organizations. Implementation requires mapping AI usage and data flows, which demands initial setup effort.

How does HiddenLayer integrate with enterprise systems?

The platform offers mature integration with major MLOps and security stacks, including Microsoft Azure AI. Enterprises must map their AI usage, data flows, and internal tools to fully leverage the dashboard, requiring initial configuration effort.

Who are HiddenLayer's main competitors?

Key alternatives include Protect AI by Palo Alto Networks, Cranium AI, Robust Intelligence (Cisco AI Defense), Lakera, and Quilr. HiddenLayer differentiates with its combined model scanning, runtime defense, and red teaming capabilities.

Alternatives

How HiddenLayer AI Security Platform compares

Direct head-to-head against 3 competitors. Picked by 7wData.

This tool

HiddenLayer AI Security Platform

Pricing
Enterprise pricing
Target
The HiddenLayer AI Security Platform is a comprehensive solution designed for enterprises seeking to secure AI applications across their lifecycle.
Strength
HiddenLayer combines model scanning, runtime defense, and red teaming into a single platform, reducing vendor complexity.
Watch for
HiddenLayer’s standalone model scanning is less differentiated compared to specialized tools like ModelScan.

Protect AI

Pricing
Custom/Contact sales
Target
Enterprise AI model security
Deployment
SaaS/On-prem
Strength
Model supply chain scanning
Watch for
Acquired by Palo Alto, roadmap shifts

Lakera

Pricing
$5k+/month entry
Target
LLM prompt injection defense
Deployment
API/SDK
Strength
Real-time attack detection
Watch for
Narrower focus on prompts

Quilr

Pricing
$25/user/month
Target
Shadow AI monitoring
Deployment
Browser extension
Strength
SaaS usage visibility
Watch for
Limited runtime controls

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Sources

Reporting on this tool draws on these publicly available sources.

  1. guptadeepak.com
  2. www.gartner.com
  3. www.hiddenlayer.com
  4. www.hiddenlayer.com
  5. www.hiddenlayer.com