Securing AI-models in a digital world

AI-based solutions influence us and our society - often without our awareness - making decisions that can change the course of our lives. Despite the level of trust that we place in ML algorithms, these systems can be exploited. We present a taxonomy of attacks on ML and show how they work.

Machine Learning Detection and Response (MLDR) is the first cybersecurity solution of its kind that monitors, detects and responds to attacks targeting AI models. The patent-pending technology provides a non-invasive, 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.

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