Mastering Detection Engineering With Ai
Vini Engel
SOC Prime
Prian Chauhan
Detection engineers are in short supply, and the complexity of today’s attack surface isn’t slowing down. To keep up, SOC teams need smarter, more adaptive tools—not just to support seasoned pros, but also to help upskill new talent and empower Tier 1 and Tier 2 analysts as they grow in their roles.
Gartner’s Top Cybersecurity Trends for 2025 highlights the growing impact of generative AI on security operations, and it might just be the key to solving the challenges above. In our upcoming webinar, we’ll explore how you can put AI to work in your day-to-day operations with Uncoder—your AI co-pilot for detection engineering. We’ll walk you through practical use cases, showing how to automate and enhance your detection engineering end-to-end—from rule logic development and validation to optimization and documentation—accelerating workflows and improving coverage.
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What you’ll learn:
- Address modern-day challenges that detection engineers are facing
- Explore real-world scenarios of AI applications in day-to-day detection engineering tasks
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Dive into practical use cases:
— Generate detection rules from live threat reports backed by AI
— Craft detection content with custom AI prompts
— Validate syntax and refine detection logic across 56+ language formats using AI
— Automatically visualize Attack Flows directly from threat reports
— Enrich Sigma rules with MITRE ATT&CK (sub-)techniques using our purpose-built ML model
Register today to discover how Uncoder AI delivers measurable impact across detection engineering tasks.