HiddenLayer – Technical Overview

HiddenLayer is an enterprise-grade AI security platform designed to protect machine learning models and AI systems across the full lifecycle. Built for integration into existing developer and security workflows, HiddenLayer offers a non-invasive AI Detection and Response (AIDR) solution that operates without requiring access to raw model weights or training data.

Core capabilities include:

AI Discovery – Enumerate and inventory AI/ML assets across your environment
AI Supply Chain Security – Detect threats introduced via third-party models, datasets, and dependencies
Model Scanning – Static and behavioral analysis of ML models for embedded threats and vulnerabilities
AI Attack Simulation & Red Teaming – Automated adversarial testing against deployed models
AI Runtime Security – Real-time monitoring and threat detection during model inference
AI Guardrails – Policy enforcement layers for model inputs and outputs
Agentic and MCP Protection – Security controls for autonomous AI agents and Model Context Protocol (MCP) implementations

Integrations: AWS, Databricks, CI/CD pipelines, MLOps platforms, Data Pipelines, SIEM, and SOAR — enabling HiddenLayer to embed directly into existing DevSecOps and MLOps toolchains. Patented technology underpins core detection mechanisms.