WHAT'S MISSING FROM ENTERPRISE DATA SCIENCE AND MACHINE LEARNING? SECURITY.

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Open-source software (OSS) is the backbone of data science and machine learning innovation. No single technology vendor can outmatch the open-source community. While OSS is generally safe, vulnerabilities creep in over time. Just like DevOps teams, data scientists need to develop processes that ensure they are evaluating, downloading, and monitoring software packages to minimize risk and meet IT security standards.

Our Enterprise Guide to a Secure Data Science Pipeline helps you do just that. Learn what you need to watch out for when downloading open-source packages and how to establish a governance program that allows you to get more models into production. Make sure your team is security-savvy.

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Open-source software (OSS) is the backbone of data science and machine learning innovation. No single technology vendor can outmatch the open-source community. While OSS is generally safe, vulnerabilities creep in over time. Just like DevOps teams, data scientists need to develop processes that ensure they are evaluating, downloading, and monitoring software packages to minimize risk and meet IT security standards.

Our Enterprise Guide to a Secure Data Science Pipeline helps you do just that. Learn what you need to watch out for when downloading open-source packages and how to establish a governance program that allows you to get more models into production. Make sure your team is security-savvy.