HiddenLayer AISec Platform

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.

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.

Founded in Austin, Texas in 2022, HiddenLayer has raised $56 million from M12 (Microsoft's Venture Fund), Moore Strategic Ventures, IBM Ventures, and others. The company won RSA 2024 Innovation Sandbox as Most Innovative Startup, achieved zero bypasses in DEF CON red-team testing, and serves Fortune 100 customers including U.S. Air Force and Space Force. HiddenLayer holds SOC 2 Type II certification with NIST, MITRE ATLAS, and FedRAMP alignment.