Samson Adewale
Samson Adewale is a Senior Security Engineer at Klaviyo, specializing in threat response and automation. He has led initiatives building automated forensics labs and response frameworks in cloud environments. With a background spanning AWS, Azure, and DevSecOps, Samson is passionate about practical applications of AI to reduce operational overhead and enhance security resilience.
Session
Security operations teams are inundated with alerts, logs, and repetitive workflows that limit their ability to focus on meaningful analysis and rapid response. Emerging AI technologies — particularly Large Language Models (LLMs) — offer an opportunity to bridge that gap by transforming unstructured data into actionable intelligence.
This session provides a high-level exploration of how LLMs and agent-based systems can be thoughtfully integrated into Security Operations Centers (SOCs). Rather than focusing on any specific platform, we’ll discuss key decision points in designing these systems — including model selection, prompt design, context generation, agent creativity, token management, and workflow orchestration.
The presentation will conclude with a brief demo showing how these principles come together in a simple, agent-driven workflow to enrich and summarize security alerts in real time. Attendees will gain a practical understanding of how to evaluate and experiment with LLMs safely and effectively within their own security environments.