HiddenLayer helps enterprises safeguard the machine learning models behind their most important products with a comprehensive security platform. Only HiddenLayer offers turnkey AI/ML security that does not add unnecessary complexity to models and does not require access to raw data and algorithms. Founded in March of 2022 by experienced security and ML professionals, HiddenLayer is based in Austin, Texas, and is backed by cybersecurity investment specialist firm Ten Eleven Ventures. Your machine learning algorithms and carefully-curated training sets have come at a considerable expense and represent your unique competitive advantage. But a successful adversarial attack against them could cost you that advantage and you’d never know it happened.

HiddenLayer’s patent-pending solution provides a noninvasive, software-based platform that monitors the inputs and outputs of your machine learning algorithms for anomalous activity consistent with adversarial ML attack techniques. Response actions are immediate with a flexible response framework to protect your ML. With HiddenLayer, you can rest easy knowing that you’re leveraging the latest advancements in ML and adversarial ML security research to monitor, detect, and defend against even the most determined attackers. Your algorithms and training sets are as unique as your fingerprints and not meant for public consumption. But access to them is not necessary to protect you against attacks. HiddenLayer MLDR uses a patent-pending technique that observes the vectorized inputs into your ML model and the decisions that result from it. The system learns what is normal for your unique ML application without ever needing to be explicitly told. HiddenLayer offers a drop-in software approach that provides a lightweight, real-time awareness of your model’s health and attack surface without ever needing insight into it or the training set used to create it.