# HiddenLayer

**Source:** https://geo.sig.ai/brands/hiddenlayer  
**Vertical:** Cybersecurity  
**Subcategory:** AI Model Security  
**Tier:** Emerging  
**Website:** hiddenlayer.com  
**Last Updated:** 2026-04-14

## Summary

HiddenLayer protects AI models from adversarial attacks, model theft, and evasion techniques with a model-agnostic security layer requiring no architecture changes.

## Company Overview

HiddenLayer is an AI security company founded in 2022 that raised $50M in Series A funding to protect machine learning models from adversarial attacks and exploitation. The platform sits between AI models and the inputs they receive, monitoring for adversarial examples, prompt injection attacks, model inversion attempts, and evasion techniques designed to manipulate model outputs. HiddenLayer also protects against model theft through model extraction detection and intellectual property protection controls that alert teams when adversaries attempt to clone proprietary models. The platform is model-agnostic and integrates with existing ML infrastructure without requiring changes to model architectures or inference pipelines. HiddenLayer serves enterprises in financial services, defense, and technology sectors where AI models process sensitive data or make high-stakes decisions. The company's security research team regularly publishes findings on novel AI attack techniques, building credibility as a thought leader in AI security alongside its commercial platform.

## Frequently Asked Questions

### What is HiddenLayer?
HiddenLayer is an AI security platform that detects and defends against adversarial attacks, model theft, and evasion techniques targeting deployed machine learning models in production environments.

### How does HiddenLayer protect AI models?
HiddenLayer monitors inputs to AI models in real time, detecting adversarial examples, prompt injection, and model extraction attempts before they can manipulate outputs or allow adversaries to steal intellectual property.

### What industries does HiddenLayer serve?
HiddenLayer focuses on financial services, defense and intelligence, healthcare, and technology companies running high-stakes production AI systems where model integrity and security are business-critical requirements.

### How much has HiddenLayer raised?
HiddenLayer raised approximately $50M in Series A funding from M12 (Microsoft's venture fund), Moore Strategic Ventures, and others. The company targets enterprises deploying high-stakes production AI systems in financial services, defense, healthcare, and technology where AI model integrity is a business-critical security requirement.

### What is model inversion and how does HiddenLayer prevent it?
Model inversion attacks allow adversaries to reconstruct training data from a deployed model's outputs — for example, recovering sensitive patient records from a model trained on medical data. HiddenLayer monitors for the query patterns that indicate model inversion attempts (systematic querying designed to probe model internals) and can alert or block these attacks before significant data reconstruction occurs.

### How does HiddenLayer protect against adversarial examples?
Adversarial examples are inputs crafted by attackers to fool AI models into producing wrong predictions — for example, imperceptibly modified images that cause computer vision models to misclassify targets. HiddenLayer's platform detects adversarial inputs by analyzing the statistical properties of model inputs in real time, flagging queries that exhibit the perturbation patterns characteristic of adversarial example attacks.

### What is the MITRE ATLAS framework and how does HiddenLayer align with it?
MITRE ATLAS (Adversarial Threat Landscape for Artificial Intelligence Systems) is the AI security equivalent of MITRE ATT&CK — a framework cataloging adversarial attack techniques targeting machine learning systems. HiddenLayer aligns its detection capabilities to ATLAS techniques, allowing security teams to map their AI model protection posture to the same framework they use to assess coverage against traditional cyber threats.

### How does HiddenLayer deploy and integrate with ML infrastructure?
HiddenLayer deploys as a monitoring layer that integrates with model inference APIs, ML platforms (SageMaker, Azure ML, Vertex AI), and custom serving infrastructure. It typically requires minimal code changes — instrumenting the prediction endpoint to route inputs and outputs through HiddenLayer's analysis engine without adding significant latency to the inference path.

## Tags

ai-powered, cybersecurity, startup, b2b, saas, security

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*