Insights from the front line.

Every SOC operating model looks affordable at the size it was priced for. Here is the math on in-house, managed, and AI-driven security operations, and the point where each one stops scaling.

Once machines do first-pass triage and investigation, detection and response times mostly measure the machine. Security leaders need a scorecard that also measures whether the machine was right.

When AI can pick up, investigate, and close most alerts faster than a person, the queue stops being the analyst's job description, and security leaders are still working out what replaces it.

The average SOC runs investigation after triage creating a gap where incidents expand. Fixing that gap requires making investigation intelligence portable.

An autonomous analyst opens his case files. Every question, every dead end, every moment a clean theory fell apart. No vendor gloss, no marketing victory laps. Just the work.

Command Zero today released a broad set of API endpoints and a Model Context Protocol (MCP) server for its Autonomous & AI-Assisted SOC platform.

A common theme across the majority of conversations I've been having recently is that of what happens to the security practitioners role and whether or not some jobs will survive AI.

By the Time a Case Reaches Tier 3, It’s Already a Mess

SOC managers face a frustrating choice: force analysts to leave their trusted workflows to use a new tool, or let a powerful capability go underutilized.

Command Zero spent the week in working sessions with SOC leads and detection engineers. The consistent pressure point was the same: federated, source-agnostic access is the operational requirement.