{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"EP271 Can AI-Native MDR Actually Fix Your Broken SOC Workflows or Just Automate the Mess?","description":"Guests: Eric Foster, CEO, Tenex.AI Bashar Abouseido, President,  Tenex.AI Topics: \u201c10X SOC\u201d sounds great.  But for an organization stuck in "SIEM 1.0" with poor data quality and manual workflows, is \u201cAI-native MDR\u201d a "leapfrog" opportunity or a recipe for disaster? We\u2019ve 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\u2019ve 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\u2014who has been burned by false positives for a decade\u2014trust 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 \u201c10X\u201d paper \u201cAutonomic Security Operations: 10X Transformation of the Security Operations Center\u201d ","author_name":"Cloud Security Podcast by Google","author_url":"https:\/\/cloud.withgoogle.com\/cloudsecurity\/podcast\/","html":"