Immuta and the Future of Privacy Forum (FPF) today announced the first-ever framework for practitioners to manage risk in artificial intelligence (AI) and machine learning (ML) models. Their joint whitepaper, Beyond Explainability: A Practical Guide to Managing Risk in Machine Learning Models, provides business executives, data scientists, and compliance professionals with a strategic guide for governing the legal, privacy, and ethical risks associated with this technology.
Immuta was founded in 2014 based on a mission within the U.S. Intelligence Community to build a platform that accelerates self-service access and control of sensitive data. Immuta’s award-winning automated data governance software platform creates trust across security, legal, compliance, and business teams so they can work together to ensure timely access to critical business data with minimal risks. Its automated, scalable, no code approach makes it easy for users to access the data they need, when they need it, while protecting sensitive data and ensuring their customers’ privacy. Immuta is headquartered in College Park, Maryland.