Liran Tal
Developer Advocate at Snyk
Tel Aviv, Israel
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Liran Tal is an award-winning software developer, security researcher, and open source champion in the JavaScript community. He's an internationally recognized GitHub Star, acknowledged for his open source advocacy, and has received the OpenJS Foundation's Pathfinder for Security for his work on Node.js security. His contributions to developer security education include leading OWASP projects, building supply chain security tools, participation in CNCF and OpenSSF initiatives.
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Securing AI-Generated Code in Banking Applications
Financial services are rapidly becoming tech companies too and the stakes for securing applications are higher than ever. As digital banking platforms grow, so do the complexities of identifying and fixing vulnerabilities in modern app development.
What sort of security risks do you face when financial services companies rush to adopt GenAI? We will deep-dive into a custom-built app - Berkshare Hackaway, and run a hands-on live coding session to implement application features and learn how AI coding assistants can unintentionally introduce security vulnerabilities. How do you protect banking and finance applications? What sort of insecure coding mistakes could lead to data breaches and security vulnerabilities?
At the speed of rapid software development and augmented AI coding assistants, finding security issues in CI or production could be too late and costly. I'll show you how to use the free Snyk IDE extension to run static analysis and detect security vulnerabilities like prototype pollution in Node.js and keep it secure.
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