Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Co-founder and COO LimaCharlie founder Maxime Lamothe-Brassard joined Alex Hurtado on the Detection Dispatch podcast to talk about the shift happening across the industry: security capabilities moving out from behind the UI. When every platform function is reachable through an API or CLI, both humans and AI agents can do the work without logging into a console. The episode covers what headless means in practice, how to govern agents in production, and where automation actually pays off.

Most “AI SOC” demos out there can look great. The polished dashboard, the confident verdict, the slide that says “autonomous.” A demo is built to show the platform at its best, on clean data, in a controlled environment, answering a question the vendor already knew was coming. The differences only show up after you’ve signed, when the platform meets your real stack, alert volume, and compliance requirements.

A year ago, a handful of vendors called themselves an “AI SOC.” Today, more than 100 do. The label now means whatever the person selling it needs it to mean, leaving security teams to buy very different products under the same two words. So let’s sort the market. Beneath the “agentic” branding, most AI SOC vendors fall into one of four categories, and none of them clears the bar. Each can look capable in a demo.

The rules of offensive security just changed. Here's what every SecOps leader needs to do about it.