David is Vice President of Engineering at HiddenLayer, overseeing the development of their flagship product, MLDR. David has been fascinated with machine learning since the 80s when he designed a narrow expert system for interactively identifying D&D monsters on an 8-bit Apple IIe. He has since amassed over two decades of experience in the cyber-security industry, from malware research to developing threat detection technologies and building DevOps organizations. An early pioneer in the adoption of AI/ML for threat detection, David has been a prolific creator of machine learning based security technologies, with over 13 patents awarded for his inventions in the field of cyber-security since 2013. In recent times, David has been investigating real-world attacks against ML/AI systems and developing defensive countermeasures to combat adversaries.
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.
