The Day that Machine Learning Learnt To Identify Open Source Flaws

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Presented by

Paul Farrington - EMEA CTO, Veracode & Asankhaya Sharma - Director Software Engineering, Veracode

About this talk

In this live webinar we’ll talk about the wonderful opportunity afforded by Open Source software to accelerate development productivity. With up to 90% of modern software being comprised from third party components, it’s important to understand how secure building blocks really are. Public vulnerability databases only reveal part of the story. Veracode shines a light on how we use Machine Learning to identify everything else. For modern languages, the results are astounding. By mining open source software repositories we are able to automatically identify vulnerabilities and security issues before they are widely known. Join this live webinar to... -Learn how to use machine learning (ML) to automate the task of identifying vulnerabilities in open-source software. -Understand the engineering challenges in building and deploying ML models at scale in production. -See the impact of uncovering new previously unreported security issues in 3rd party components.
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Veracode is intelligent software security. The Veracode Software Security Platform continuously finds flaws and vulnerabilities at every stage of the modern software development lifecycle. Prompted by powerful AI trained by trillions of lines of code, Veracode customers fix flaws faster with high accuracy. Trusted by security teams, developers, and business leaders from thousands of the world’s leading organizations, Veracode is the pioneer, continuing to redefine what intelligent software security means. Learn more at www.veracode.com