Managing Software Risks in the Age of AI-Generated Code

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Presented by

John Lynn & Laila Paszti, Kirkland & Ellis LLP / Chris Murphy, Vista Equity Partners / Phil Odence, Synopsys

About this talk

In the complex world of software development, generative artificial intelligence (GAI) coding tools appear as a beacon of productivity and effectiveness. When handled with precision, they brighten the path to innovation, cutting through the intricacies of coding. However, as with any unchecked flame, such tools must be carefully managed to avoid endangering an organization's valued IP, impacting its bottom line or introducing risk into an M&A transaction. Join this webinar to get an introduction to GAI coding tools and how you can minimize risk when using these in your organization. We’ll cover: - Introduction to GAI coding tools (from code completion to code generation) - Legal, operational, and M&A risks arising from GAI coding tools (e.g., IP ownership, IP infringement, cybersecurity) - Establishing a general AI policy with provisions specifically tailored to issues arising in using AI for coding - Managing risk arising from GAI coding tools - this includes a mix of technical, operational and administrative safeguards (e.g., usage policies, auditing tools, optimal selection and implementation of tools) This presentation is intended for legal and technical teams involved in software development and M&A software due diligence.
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Synopsys Software Integrity Group provides integrated solutions that transform the way development teams build and deliver software, accelerating innovation while addressing business risk. Our industry-leading portfolio of software security products and services is the most comprehensive in the world and interoperates with third-party and open source tools, allowing organizations to leverage existing investments to build the security program that’s best for them. Only Synopsys offers everything you need to build trust in your software.