Solution Sheet: Run Your Data Science Programs in the Cloud with Less Risk and 60% Lower Costs
Compliance Playbook: HIPAA Compliant AI
The Health Insurance Portability and Accountability Act (HIPAA) governs data disclosure by medical providers in the United States. The regulators implementing HIPAA set forth two main strategies to de-identify, and thereby legally use and disclose, protected data. The first is what’s known as the “Safe Harbor” method, in which covered entities must remove 18 identifiers. The second is an “expert determination” that data is de-identified.
Customer Case Study: How Cognoa Improved Data Management Practices for AI-Based Medical Diagnostics with Immuta
Cognoa, which provides an AI-based solution for pediatric behavioral health diagnostics and digital therapies, utilizes the Immuta platform to ensure data is consistently and accurately enforced across a wide variety of data sources and users driving its machine learning programs.
Immuta Named 2018 Gartner Cool Vendor in Data Science and Machine Learning
We’re happy to announce that Gartner has named Immuta a 2018 Gartner Cool Vendor in Data Science and Machine Learning. In their 2018 Cool Vendors report, Gartner recommends that leaders forming and evangelizing analytics and BI strategies should make data management and governance a point of emphasis within their teams.
Beyond Explainability: A Practical Guide to Managing Risk in Machine Learning Models
In this whitepaper, Immuta and the Future of Privacy Forum provide the first-ever standard for managing risk in AI and ML, focusing on both practical processes and technical best practices to govern machine learning.
Immuta Compliance Playbook: GDPR
This GDPR playbook illustrates how companies can use Immuta to easily apply data privacy and anonymization policies to enterprise data science programs. We focus on implementing one specific use case under the GDPR, which requires pseudonymization, minimization and purpose-based restrictions on a given data set.
Automating GDPR for Data Science and Advanced Analytics with Immuta
Recommendations for the FCA and BoE’s 2017 Model Driven and Machine Executable Regulations Tech Sprint
In November of 2017, the Financial Conduct Authority (FCA) and the Bank of England (BoE) enlisted experts within the UK Government and in the private sector and academia to create a proof of concept model to implement financial regulations in model-driven, machine executable form. This paper was prepared to evaluate the long-term feasibility of this approach.
Governing Machine Learning: Exploring the Intersection Between Machine Learning, Law, and Regulation
This white paper summarizes a discussion that took place in May 2017 amongst top academics, lawyers, and data scientists focused on the intersection of regulation and machine learning. While the following document is meant to provide an overview of that discussion, it does not represent the views of individual participants, their a liated institutions, or the sponsoring organizations.immuta
Sample GDPR Memo on GDPR-Compliant Data Usage for a Data Science Team
Immuta makes it incredibly easy to comply with a range of complex regulatory regimes, and our Governance Team is always happy assist in configuring Immuta and ensuring that your data governance program is world-class. To that end, this is a sample memorandum from a governance team to a data science program, outlining how to use Immuta in full compliance with the restrictions placed on data in the GDPR.
Immuta Aims to Accelerate Time to Intelligence with Data Management for Data Science
This report by 451 Research provides a look at our company's data management platform for data science and how the Immuta platform is designed to accelerate the development of machine learning via a virtual shared data plane.