The B2B Podcast Index
Index
All categories
MarketingSalesSaaSFinanceHROpsLeadershipCustomer SuccessAI & DataProductStartups & FoundersRevOpsEngineering & DevTools
MethodologySubmit
Best of:MarketingSalesSaaSFinanceHROpsLeadershipCustomer SuccessAI & DataProductStartups & FoundersRevOpsEngineering & DevTools
An independent project byFame
SearchBest episodesGuestsInsightsMethodologySubmit a podcast
Index/Engineering & DevTools/Detection at Scale
Detection at Scale artwork

Compass' Ryan Glynn on Why LLMs Shouldn't Make Security Decisions - But Should Power Them

Detection at Scale · 2026-01-27 · 41 min

0:00--:--

Episode notes

Ryan Glynn , Staff Security Engineer at Compass , has a practical AI implementation strategy for security operations. His team built machine learning models that removed 95% of on-call burden from phishing triage by combining traditional ML techniques with LLM-powered semantic understanding. He also explores where AI agents excel versus where deterministic approaches still win, why tuning detection rules beats prompt-engineering agents, and how to build company-specific models that solve your actual security problems rather than chasing vendor promises about autonomous SOCs.

More from Detection at Scale

All episodes →
  • Closing The Alert vs. Closing The Loop: How AI Is Reinventing the SOC67 / 100
  • Google's Michael Sinno on Autonomous Detection at 7 Trillion Logs Per Day
  • Block's CISO James Nettesheim on How 40% of Their Detections Are Now Written with AI
  • Veeva Systems' Mike Vetri on Building Threat Operations Teams and AI-Powered Investigations
  • Trustpilot's Gary Hunter on Structuring Security Knowledge for AI Success
Explore the best B2B Engineering & DevTools podcasts →
All Detection at Scale episodes →