What is
HiddenLayer
?
Most platform initiatives fail the same way: they start too big, get funded like projects instead of products, build for too long without testing with users, and confuse renaming an infrastructure team with building a platform team. Instead, start small, learn fast and scale deliberately.
At a glance
Fact | Details |
|---|---|
Primary use case | Lifecycle security for agentic, generative, and predictive AI applications |
Pricing model | Enterprise quote based on organization size, deployment requirements, and number of models; no public pricing or free tier reported |
Supported integrations | CI/CD, MLOps, data pipelines, SIEM/SOAR, GitHub Actions, Amazon S3, TrueFoundry AI Gateway |
Source type | Dual |
Ideal team size | Enterprise security and AI development teams; no numerical minimum specified |
Onboarding time | Complex onboarding with significant deployment and module configuration effort; duration unspecified |
Required skills | AI/ML security, security policy configuration, CI/CD integration, MLOps, SIEM/SOAR integration |
AEP branch | Agent Infrastructure |
AEP category | Governance |
AEP subcategory | Agent Security |
AEP detail | Compliance & Posture |
Profile
Compliance & Posture is the most specific AEP level for HiddenLayer. The platform secures agentic, generative, and predictive AI applications across their lifecycle, with capabilities for AI discovery, AI supply-chain security, attack simulation, and runtime security.
HiddenLayer can identify AI applications, models, and assets in an environment, analyze risks during development, validate defenses, and monitor for adversarial threats at runtime. Its stated use cases include model scanning, red teaming, AI guardrails, and agentic and MCP protection.
Focus
HiddenLayer is aimed at enterprise security and AI development teams. It addresses risks that include unknown code and vulnerabilities in third-party models, adversarial attacks, data leakage, model manipulation, and rogue behavior in autonomous systems. The platform provides visibility and security controls for AI applications across development and runtime.
Background
Company-background research identifies HiddenLayer as an Austin, Texas-based company founded in March 2022. The company announced a $100 million Series B funding round.
HiddenLayer’s GitHub organization lists 25 repositories. One repository houses HiddenPickle, described as a disassembler, patcher, and compiler for Python Pickle files. The organization also publishes a GitHub Action for integrating model scanning into CI processes.
Features
AI discovery
Builds an inventory of AI applications, models, and assets to help identify AI use in an environment. HiddenLayer describes this capability as identifying and inventorying those assets.
AI supply-chain security and model scanning
Helps detect risks in third-party and proprietary models and protect AI assets during development. The platform analyzes models and assets as they are built, and its GitHub Action can integrate model scanning into a CI process.
Attack simulation and red teaming
Helps teams identify threats and validate defenses. HiddenLayer describes continual threat identification and defense validation, and lists red teaming as a use case.
AI guardrails
Helps prevent misuse, data leakage, and adversarial attacks through policy-based controls. AI guardrails are listed as a platform use case.
Runtime and agentic protection
Helps monitor and respond to adversarial threats affecting agentic and generative AI applications. HiddenLayer describes a runtime firewall for real-time monitoring, detection, and response, and lists agentic and MCP protection as a use case.
Pros and cons
Pros
Provides lifecycle coverage through AI discovery, supply-chain security, attack simulation, and runtime protection.
Supports integrations across CI/CD, MLOps, data pipelines, and SIEM/SOAR; a GitHub Actions integration is available for model scanning.
Gartner Peer Insights reports a 4.4 rating from 8 reviews.
Cons
Public pricing and a free tier are not reported; buyers must seek an enterprise quote based on organization size, deployment requirements, and number of models.
A review source reports that deployment and module configuration require significant effort, which can add work to onboarding. The duration is unspecified.
FAQs
Frequently asked questions
How does HiddenLayer protect AI applications?
HiddenLayer inventories AI applications, models, and assets, analyzes risks during development, supports attack simulation and defense validation, and uses a runtime firewall to monitor, detect, and respond to adversarial threats.
Which tools does HiddenLayer integrate with?
HiddenLayer supports integrations across CI/CD, MLOps, data pipelines, SIEM/SOAR, GitHub Actions, Amazon S3, and TrueFoundry AI Gateway.
How much does HiddenLayer cost?
HiddenLayer pricing is an enterprise quote based on organization size, deployment requirements, and number of models; no public pricing or free tier reported.
What skills does a team need to deploy HiddenLayer?
HiddenLayer's required skills are AI/ML security, security policy configuration, CI/CD integration, MLOps, SIEM/SOAR integration.
What should teams expect during HiddenLayer onboarding?
A review source reports significant effort for HiddenLayer deployment and module configuration; onboarding duration is unspecified.
