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UID:pretalx-bsidesatl-2025-LDSKUX@pretalx.com
DTSTART;TZID=EST:20251115T160000
DTEND;TZID=EST:20251115T162000
DESCRIPTION:Security operations teams are inundated with alerts\, logs\, an
 d repetitive workflows that limit their ability to focus on meaningful ana
 lysis and rapid response. Emerging AI technologies — particularly Large 
 Language Models (LLMs) — offer an opportunity to bridge that gap by tran
 sforming unstructured data into actionable intelligence.\n\nThis session p
 rovides a high-level exploration of how LLMs and agent-based systems can b
 e thoughtfully integrated into Security Operations Centers (SOCs). Rather 
 than focusing on any specific platform\, we’ll discuss key decision poin
 ts in designing these systems — including model selection\, prompt desig
 n\, context generation\, agent creativity\, token management\, and workflo
 w orchestration.\n\nThe presentation will conclude with a brief demo showi
 ng 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 safe
 ly and effectively within their own security environments.
DTSTAMP:20260309T212923Z
LOCATION:Room 300
SUMMARY:Empowering Security Operations with AI and Large Language Models (L
 LMs): From Noise to Insight - Samson Adewale
URL:https://pretalx.com/bsidesatl-2025/talk/LDSKUX/
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