HiddenLayer AI Security Platform

What it does

HiddenLayer's AISec Platform provides comprehensive security for AI systems across the entire machine learning lifecycle from development through production. The platform's Machine Learning Detection and Response (MLDR) capability, the world's first, automatically detects and prevents sophisticated cyberattacks targeting ML models. Unlike competitors requiring access to raw data or algorithms, HiddenLayer's non-invasive approach analyzes only mathematical representations of model inputs and outputs, protecting intellectual property without workflow changes.

How it works

Platform 2.0 introduces Model Genealogy for complete lineage tracking and automated AI Bill of Materials (AIBOM) generation that catalogs all components, dependencies, libraries, frameworks, and datasets for full AI supply chain visibility. The platform protects against all 64 MITRE ATLAS attack types including inference attacks, model extraction, jailbreaking, model poisoning, and data poisoning, with automated red teaming and runtime monitoring. HiddenLayer integrates seamlessly with TensorFlow, PyTorch, scikit-learn, and major cloud providers, and is exclusively selected by Microsoft as the sole scanning tool in Azure AI Studio.

Credentials and traction

HiddenLayer holds SOC 2 Type II and ISO 27001 certifications. It was named a Representative Vendor in the 2025 Gartner Market Guide for AI Trust, Risk, and Security Management (AI TRiSM), and was recognized as a Gartner Cool Vendor in AI Security in 2024. The company was named Most Innovative Startup at the RSA Conference 2023 Innovation Sandbox and is listed as Awardable for U.S. Department of Defense work in the CDAO Tradewinds Solutions Marketplace. It serves Fortune 100 enterprises and government customers including the U.S. Air Force.