How Machine Learning Impacts Information Security

Immuta Chief Privacy Officer and Legal Engineer Andrew Burt on the need to modernize data protection tools and strategies. Read the highlights and listen to the podcast here.

News Release: Immuta Expands Governance, Risk, and Compliance Expertise to Help Global Enterprises Build Legal and Ethical Data Science Programs

Former RBC Chief Operational Risk Officer Joins Immuta to Help Regulated Enterprises Transform GRC Into an Innovation Accelerant Read the full press release here.

Recommendation in Favor of Google Allows for Balkanization of Data Governance

The chief privacy officer and legal engineer of data management company Immuta said that this was only a recommendation and there will still need to be a final ruling by the court. Click here to read the full article.

Industry Speaks: Big Data Prognostications for 2019

Privacy will emerge as a top priority at the national level according to the folks at Immuta, a Washington D.C.-area company that develops software aimed at boosting privacy in AI. “We expect privacy to increase in importance in the new year, highlighting current efforts to create a single, national privacy standard in the U.S.,” Immuta CEO Matthew...

Privacy and Cybersecurity Are Converging. Here’s Why That Matters for People and for Companies.

A look at what’s changing and what it means. [By Andrew Burt, Immuta Chief Privacy Officer and Legal Engineer] Click here to read the full article.

Opinion: Parsing Data Security from Privacy in the GDPR

An opinion piece co-authored by Immuta’s Steve Touw (CTO) and Sophie Stalla-Bourdillon (Senior Privacy Counsel and Legal Engineer) Click here to read the full article.

Alphabet’s China Search Engine Might Be Done For

Google’s controversial plan to build a censored Chinese search engine may be shelved, according to a report. The project sparked a backlash, both within and outside of the company. asked Immuta Chief Privacy Officer Andrew Burt to weigh in. Read the full article here.

Opinion: Managing Risk in Machine Learning

In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Read the full article here.

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