Webinar: How to build insightful analytical models without compromising security?

Protegrity webinar: Building secure analytical models – Registration Link
Wednesday 6th August, 10AM CET / 4PM Singapore time
The replay will available shortly after the session.

Personal data at the core of analytical ventures has opened companies up to new security vulnerabilities. | Image source: Steve Roe

From traditional reporting to machine learning, data at the core of analytical ventures has opened companies up to new security vulnerabilities.

Join our webinar this Wednesday to learn about best practices in identifying and protecting sensitive data in your data science workflows. We’ll talk about what constitutes sensitive data, look at cutting edge data protection techniques (like tokenization), and see how data types and distributions influence security considerations (e.g. why outliers are telling and what to do with them). With our review of data anonymization techniques you will get the gist of where the industry is going and see for yourself if data anonymization is a myth, or a realistic goal.

Check out other upcoming Protegrity webinars and recorded sessions or learn more about Protegrity.

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