EP271 Can AI-Native MDR Actually Fix Your Broken SOC Workflows or Just Automate the Mess?

Guests: Eric Foster, CEO, Tenex.AI Bashar Abouseido, President,  Tenex.AI Topics: "10X SOC" sounds great.  But for an organization stuck in "SIEM 1.0" with poor data quality and manual workflows, is "AI-native MDR" a "leapfrog" opportunity or a recipe for disaster? We've seen the rise of "Decoupled SIEM" and security data lakes. Does a "Modern SIEM" even need to exist if an MDR platform has an agentic layer doing the heavy lifting?  You've argued for AI-native over AI-bolted-on. For an end user, what are the tangible differences of using "AI inside a legacy SIEM" versus using an "AI-native separate product"? What is the one task you thought AI would handle by now that still requires a senior human analyst to step in? If a CISO is using an AI MDR, "Mean Time to Detect" (MTTD) starts to look like a vanity metric because the machine is instant. What is the new golden metric for an AI-powered SOC? Is it "Time to Context," "Reduction in Human Toil," or something else? How do you help a skeptical SOC Manager—who has been burned by false positives for a decade—trust an autonomous agent to perform a "containment" action at 3:00 AM?   Resources: EP227 AI-Native MDR: Betting on the Future of Security Operations? EP10 SIEM Modernization? Is That a Thing? The original "10X" paper "Autonomic Security Operations: 10X Transformation of the Security Operations Center"