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.