The Dashboard Is Dead, Long Live the Harness with Myke Lyons

Security teams spent decades begging for more logs. Now the enterprise is generating petabytes a day, and the thing drowning in it isn't just the SOC anymore, it's your AI agents too. In this episode, Ron sits down with Myke Lyons, CISO at Cribl, who cut his teeth in telemetry and logging decades ago and has landed right back there in the age of AI.

Ron and Myke dig into why most telemetry failures aren't data problems at all, they're decisions nobody made about why the logs are being collected in the first place. Myke breaks down what to track on every agent in your environment, why token spend belongs on the security team's plate, why dashboards are quietly dying, and why treating an AI agent like just another employee is a mistake that's going to bite security teams hard.

Underneath it all is one question Myke keeps circling back to: do you actually know what normal looks like for every agent in your environment?

Impactful Moments

00:00 - Introduction 01:50 - Myth Busting: AI Agents Aren't Just Another User Account 04:25 - Meet Myke Lyons, CISO at Cribl 05:05 - What it means to run security at a telemetry company 06:10 - From gigabytes of logs at GE to petabytes today 07:45 - MITRE ATT&CK, Cribl's new APEX framework, and orienting telemetry 10:20 - Why most telemetry problems are decision problems, not data problems 13:20 - OCSF and how security teams are rethinking their schemas 14:25 - Why the dashboard is dying 17:35 - What Myke wants to track about every AI agent 20:10 - How to spot an agent going rogue 23:15 - Making your data AI-ready and the case for schematizing everything 27:10 - Tokenomics: treating AI spend as a security responsibility 29:05 - The non-negotiable logs every org should be collecting 31:50 - Hot takes: build vs. buy, tier two to three, and Myke's daily AI briefing 33:35 - Closing thoughts and outro

Links

Connect with Myke Lyons on LinkedIn: https://www.linkedin.com/in/mykelyons/

Learn more about Cribl: https://cribl.io/

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