Vibe Coding Google SecOps Parsers with Gemini

Onboarding a new log source shouldn't take days of manual development. Building and debugging custom parsers in Google SecOps has traditionally required deep regex expertise and a lot of trial and error. Enter "Vibe Coding"—the art of using generative AI to express your intent in plain English while the AI handles the syntax. Join us for an interactive webinar with Bernie Weidel, Security Advisor, exploring how to leverage Gemini to rapidly prototype, build, and troubleshoot custom SecOps parsers. We'll show you how to turn raw, complex log samples into fully mapped UDM (Unified Data Model) events without getting bogged down in traditional coding bottlenecks. Whether you are dealing with bespoke application logs or poorly documented security feeds, you'll discover how to use AI to dramatically compress the time it takes to get from raw data to actionable security telemetry.

In this webinar we’ll cover:

• The Vibe Coding Blueprint: How to effectively prompt Gemini to understand obscure log formats and map them accurately to the Google SecOps UDM.
• Rapid Regex Generation: Leveraging AI to instantly write, explain, and optimize complex regular expressions for log extraction.
• Live Debugging with Gemini: How to feed parsing errors back to the AI to iterate and fix broken parsers in real time.
• Building a Parser from Scratch: A step-by-step, live demonstration of building a fully functional custom parser using nothing but log samples and Gemini prompts.
• Validation & Best Practices: Ensuring your vibe-coded parsers meet SecOps performance standards and cleanly handle unexpected log variations.
• Community Prompts: Sharing a starter kit of reusable prompts you can take back to your team to begin vibe coding your own parsers immediately.