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HiddenLayer
AI security platform for discovering AI assets, inspecting model supply chains, testing adversarial risks, and protecting applications and agents at runtime.
About HiddenLayer
HiddenLayer helps security and AI teams manage risks across models, applications, and agent workflows. Its platform connects four areas: AI discovery, supply chain security, attack simulation, and runtime protection. Organizations can use these capabilities to identify their AI assets, assess components before deployment, and monitor systems operating in production.
The discovery and supply chain modules address questions about ownership, provenance, and model integrity. Attack simulation evaluates how AI systems respond to malicious prompts, requests for sensitive information, and attempts to misuse tools. Runtime security adds visibility and enforcement around live interactions, including activity involving coding agents.
Key Features
- AI asset discovery: Identifies models, agents, and associated assets across cloud accounts, repositories, endpoints, and pipelines.
- Ownership and risk classification: Associates discovered assets with business ownership, sensitivity, and risk information.
- Model supply chain inspection: Examines model artifacts for tampering and suspicious components while tracking provenance and lineage.
- AI bill of materials: Provides visibility into model files, metadata, and supporting components.
- Automated attack simulation: Tests prompt manipulation, sensitive-data exposure, and unauthorized agent actions.
- Runtime enforcement: Supports monitoring, investigation, blocking, and redaction according to configured policies and supported capabilities.
Pricing
Pricing not publicly specified.
Use Cases
- Inventory AI models and agents distributed across enterprise environments.
- Assess third-party models before introducing them into development or production.
- Test whether agents expose sensitive information or misuse connected tools.
- Investigate and respond to suspicious behavior in deployed AI workflows.
Pros & Cons
Pros:
- Connects asset discovery, model inspection, adversarial testing, and runtime protection.
- Includes model provenance and component visibility alongside behavioral security.
- Integrates security findings with existing enterprise monitoring workflows.
Cons:
- Standard demonstrations use walkthroughs and simulated examples; live red-team testing requires a separate engagement.
Integrations
Databricks, AWS, Microsoft Azure, Google Cloud, Splunk, Microsoft Sentinel
FAQ
What is HiddenLayer used for?
HiddenLayer helps organizations discover AI assets, inspect models, test adversarial behavior, and protect deployed AI applications and agents.
Does HiddenLayer discover shadow AI?
Its AI Discovery module identifies unofficial models, agents, and API integrations across supported enterprise environments.
Can HiddenLayer inspect third-party models?
Yes. Its supply chain security capabilities examine third-party and proprietary model artifacts and provide information about lineage and components.
What does HiddenLayer attack simulation test?
It evaluates risks including prompt manipulation, sensitive-data leakage, and unauthorized actions through agent tools and APIs.
Does HiddenLayer support runtime protection?
Yes. Runtime capabilities include agent activity visibility, threat investigation, and policy-based blocking or redaction.
Does a HiddenLayer demo include live security testing?
No. The standard demo provides a walkthrough and simulated examples. Live red-team testing is handled through a separate engagement.
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Last edited
November 7, 2026 at 8:31 AM by Venkatraman Chandrasekaran
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