HiddenLayer

HiddenLayer is a security platform purpose-built to protect enterprise AI models from adversarial attacks, theft and misuse.

Overview

HiddenLayer secures the models themselves. Its Model Detection and Response platform monitors model behavior in production, detecting adversarial attacks like prompt injection, evasion, data poisoning and model extraction without requiring access to the model’s internals. This non-invasive approach works with any model architecture, including third-party and closed models.

The platform integrates with MLOps workflows and SOC tooling, giving security teams visibility into AI assets and the ability to respond to threats against them. HiddenLayer also contributes to AI security research and standards bodies, and is trusted by organizations deploying AI in high-risk environments.

HiddenLayer’s approach avoids modifying or instrumenting models: sensors monitor model inputs and outputs in production, detecting adversarial behavior like evasion, extraction and poisoning regardless of architecture. This works for closed third-party models as well as in-house ones. The platform inventories AI assets, correlates threats into security workflows, and its research team publishes on emerging attack techniques, feeding continuously updated detections.

Key Features

• Runtime detection of adversarial attacks on models
• Model-agnostic coverage including third-party models
• Protection against evasion, poisoning, extraction and inversion
• Integration with SOC, SIEM and MLOps pipelines
• AI asset inventory and risk visibility
• Research-backed detection engineering

Pricing

HiddenLayer is an enterprise platform licensed through sales; organizations arrange evaluations and deployment scoping directly.

Who Is It For

Enterprises deploying AI models in production — especially in finance, defense and critical sectors — that need model-level protection.

FAQ

Is HiddenLayer free to use?

HiddenLayer is commercial enterprise software arranged through sales.

Does HiddenLayer offer an API?

The platform integrates with security and MLOps infrastructure; enterprise deployments define integration scope.

How does HiddenLayer compare to alternatives?

It protects models at runtime without touching internals, where application firewalls only guard the prompt layer.

Does HiddenLayer need access to model internals?

No — HiddenLayer detects adversarial activity from model behavior without requiring access to model weights or architecture.

What kinds of attacks does HiddenLayer detect?

HiddenLayer detects adversarial attacks targeting machine learning models: evasion attempts that craft inputs to force wrong predictions, model extraction and inversion attacks that try to steal model behavior or training data, data poisoning aimed at corrupting future model updates, and prompt-level attacks against language models. Because detection is behavioral, it also catches novel attacks that do not match known signatures. Alerts flow into existing SOC tooling, so security teams handle AI threats through familiar incident response processes.