Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this special episode, Ben sits down with Sam, the AI SOC Analyst inside Securonix, to walk through what happens when a detection fires and a real investigation begins. From a suspicious login at 2 a.m. to building context across users, endpoints, identities, and cloud activity, the conversation focuses on how investigations are changing in practice. We dig into what Sam actually does. How telemetry is pulled together. How behavior is compared to baselines. How risk is calculated. And how findings are turned into clear, structured recommendations that analysts can act on.

AI is moving into security operations fast, but the gap between a strong demo and something you can trust in production is still bigger than most teams want to admit. That gap is where risk starts. Eddie frames that early by pushing back on the idea that AI is about reducing headcount and arguing that the teams getting the most value are using it to amplify their best people instead.

Deploying AI Agents, Hacking Cameras and The Rise of Threat Intel.

Securonix Agentic Mesh introduces productivity-based AI for the SOC. Meet SAM, the AI SOC Analyst built into the Unified Defense SIEM. Security operations teams are under more pressure than ever. Alert volumes continue to rise. Data is fragmented across hybrid and multi-cloud environments. Compliance demands are increasing. At the same time, adversaries are using AI to move faster and with greater precision.