WEEK 25 · DETECTION

Stand up a logging path for one agent

Your AI agent is making decisions in your environment right now. You have no record of most of them.

An AI agent making decisions in your SOC without a structured log is not a force multiplier. It is an accountability gap you chose to put inside the wire.

Security operations teams are deploying AI agents to handle the volume problem. Alert triage. First-touch enrichment. Automated escalation. The agents are faster than analysts on familiar alert types. The alert queue finally looks manageable. What is not getting built before any of that starts is the logging layer.

An AI agent making triage decisions is a data source. It receives an input, applies logic, and produces an output. Every decision it makes should generate a log entry you can read later. Not because something will definitely go wrong. Because when something does go wrong, you need to know exactly what the agent saw, what it decided, and what it did.

The instinct is to skip instrumentation until after the agent is working. Get it deployed first, add logging later. That ordering does not hold in security work. A human analyst who closes a ticket is auditable. You can pull the case notes, the timeline, the reasoning. The agent replacing that analyst should meet the same standard. The bar does not drop because the decision-maker runs on a server.

Most teams treat agent logging as an engineering task to schedule after launch. It is actually an accountability task to build before production. You need a chain of custody from input to output. What came in, what the agent read, what it decided to do, what it produced. Four fields. Write them somewhere queryable. That is the whole schema to start.

When the agent makes a wrong call and it will, you will need to answer two questions: what did it see, and what did it decide? Without a log, that investigation starts at zero. With a log, it starts with the data.

So, here's the MondayMove

Pick one AI or automation agent running in your environment. Before it handles another ticket, define its log schema: what it received, what it decided, and what it produced. Write those entries somewhere you can query. One agent, one structured log, input to output.

Every accountability question that comes after this gets easier because of what you do this week.

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