HiddenLayer AI

HiddenLayer AI secures your entire AI pipeline. Its on-prem MLSec platform delivers real-time ML Detection & Response (MLDR) to stop model theft, data poisoning and adversarial attacks across the model lifecycle.

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AI security platformML securityMLDR solutionmodel theft protectionadversarial attack detectionAI runtime securityLLM securityAI incident response

Features of HiddenLayer AI

ML Detection & Response (MLDR) that spots threats against production ML in real time

Model protection that blocks extraction, inversion, theft and injection attacks

Data shield that prevents training-data poisoning and sensitive-data leakage

Runtime guard for Agentic AI & LLM agents to stop prompt injection and hijacking

Built-in model scanner for continuous red-team testing and risk scoring

On-prem deployment to keep models and data inside your security perimeter

Threat-intel engine updated with latest adversarial-AI research

Use Cases of HiddenLayer AI

Monitor live AI models for adversarial probes and block attacks before exfiltration

Run pre-launch security tests to find and fix model vulnerabilities before go-live

Safeguard proprietary algorithms and weights from IP theft or competitor scraping

Protect sensitive training datasets from poisoning while collaborating with third parties

Secure LLM-powered chatbots and autonomous agents against prompt injection

Feed AI-security alerts into SOC workflows for unified incident response

FAQ about HiddenLayer AI

QWhat is HiddenLayer AI?

HiddenLayer AI is an AI-security company that provides an on-prem MLSec platform to detect, block and respond to attacks on machine-learning models and data.

QWhat is the main product?

The MLSec Platform—an ML Detection & Response (MLDR) solution that gives real-time visibility and protection across the AI lifecycle.

QWhich threats does it stop?

Model theft, extraction, inversion, injection, hijacking, prompt injection, training-data poisoning and adversarial evasion.

QHow is the platform deployed?

Primarily on-prem or in your private cloud so models and data never leave your security perimeter.

QIs it related to the open-source Python library ‘hiddenlayer’?

No. The Python library is an unrelated open-source tool for visualizing deep-learning graphs; the similarity in names is coincidental.

QWho should use HiddenLayer AI?

Enterprises running AI in production, ML engineering teams, CISOs and SOC analysts who need to secure proprietary models and data.

QDoes the service process user data?

Yes—depending on how you interact with the platform. Consult the published privacy policy for full details.

QHow can I contact HiddenLayer AI?

Use the contact form on the website or email [email protected] for legal inquiries.

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