Computer Methods in Science Experiments: 3 Ways to Improve Your OSS Security

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Your Guide to OSS Security

Data scientists, business analysts, and IT decision-makers rely on open-source software (OSS) to power the future of work. However, organizations must balance innovation against potential risks inherent in allowing OSS behind firewalls.

With enterprise use of open source increasing, it's more important than ever to ensure your organization's security practices mature alongside adoption.

Learn how to secure your OSS with this curated guide from Anaconda. Highlights include:

3 approaches to OSS security and risks associated with data science
What CVEs are and how Anaconda curation improves upon public CVE data
How to move your organization up the open-source security maturity curve

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With more than 35 million users, Anaconda is the world's most popular platform to develop and deploy secure Python solutions, faster. We pioneered the use of Python for data science, champion its vibrant community, and steward the open-source projects behind tomorrow's artificial intelligence (AI) and machine learning (ML) breakthroughs. Our solutions enable practitioners and institutions around the world to securely harness the power of open source for competitive advantage and groundbreaking discoveries.