AI Security Risks: The Impact of Generative AI in Developer Workflows
A Talk by Liran Tal and Ashish Rajan
About this Talk
In this fireside chat, Liran Tal, Lead Developer Advocate at Snyk, and Ashish Rajan, host of the Cloud Security Podcast and the AI CyberSecurity Podcast, discuss the evolving security risks posed by generative AI within the developer workflow. As AI-powered tools play an increasingly important role in code generation and workflow automation, they introduce a new threat to our application integrity and data security. This discussion will explore how AI may inadvertently introduce new risks—whether through unsafe code suggestions, limitations in current security practices, and more. Looking beyond today’s landscape, we will also consider the future: where might security risks escalate as AI expands its presence in the developer ecosystem, influencing areas beyond coding assistants? How can developers and security teams stay proactive in the face of emerging AI-driven risks?
About The Speakers
Lead Developer Advocate, Snyk
Liran Tal is an award-winning software developer, security researcher, and open source advocate, known for his work in JavaScript security, leading OWASP projects, contributing to CNCF and OpenSSF initiatives, and driving developer security education at Snyk.io.
Moderators
Head of Developer Relations, Tessl
Simon Maple is the Founding Developer Advocate at Tessl and former VP of Developer Relations at Snyk, ZeroTurnaround, and IBM; a Java Champion since 2014, JavaOne Rockstar speaker, Duke's Choice award winner, Virtual JUG founder, and London Java Community co-leader.
Datadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security and many other capabilities to provide unified, real-time ob