Tanner Burns is Chief Scientist and a Co-founder at HiddenLayer, a cybersecurity startup dedicated to preventing adversarial machine learning attacks. He is responsible for the architecture, design, and development of the MLDR product. Prior to HiddenLayer’s formation, Tanner led a variety of projects for Research, Engineering, and Data Science teams, where he wrote automated software to support threat intelligence, designed custom MLOps pipelines, and created deep learning models for threat classification. In his most recent role, Tanner assisted in building a Data Science team from the ground up, ultimately producing DNN models for classifying cyber threats via time-series data. While acquiring a BS in Computer Science from Texas State University, Tanner published multiple journals in the cybersecurity space and earned numerous awards. Tanner lives in Austin, Texas, with his wife Rachel and daughter Callie.
HiddenLayer, a Gartner recognized Cool Vendor for AI Security, is the leading provider of Security for AI. Its security platform helps enterprises safeguard the machine learning models behind their most important products. HiddenLayer is the only company to offer turnkey security for AI that does not add unnecessary complexity to models and does not require access to raw data and algorithms. Founded by a team with deep roots in security and ML, HiddenLayer aims to protect enterprise’s AI from inference, bypass, extraction attacks, and model theft. The company is backed by a group of strategic investors, including M12, Microsoft’s Venture Fund, Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures.
