SHRIKESIEM (AI agent coverage)
A SIEM, or security information and event management platform, collects events from across an environment, correlates them and raises alerts. For AI agents it answers what happened and when, once events have arrived. It is built to detect and investigate, and it does not sit in the path of an agent action, so it cannot refuse one.
What a SIEM receives from an agent estate decides what it can do with it. Raw model output and tool transcripts are awkward to correlate and expensive to retain, and they leave the analyst reconstructing intent from a command line long after the context is gone. A decision record is better input: one structured event per action, naming the control that decided, the reason, the verdict and the identity behind it.
The two layers are additive. The decision is made in the path of the action, and the event then forwards downstream, where correlation across an estate, long retention and the analyst workflow already live. Neither replaces the other, and an environment running agents generally needs both: something that refuses in the moment, and something that remembers across an estate.
Related
Shrike governs AI agent actions in real time: every command, query, and tool call evaluated against policy before it executes. Watch an agent get refused in the playground, where every tool call is scanned for real, or read what is action governance.