LLM-Augmented DFIR-IRIS Case Templates: Embedding AI Prompts Directly in Your IR Reports
In a previous post I released a library of DFIR-IRIS case templates covering common incident types. Those templates give you a pre-built task list, structured note directories, and a report scaffold, but the actual narrative content still needs to be written by a human analyst at the end of a long and usually exhausting investigation. I've been experimenting with a different approach: embedding structured LLM prompts directly inside the case template's summary field, so that when the investigation is complete, an AI can draft the report narrative from the case data automatically. This post describes the concept, shows how the prompts are structured, and discusses where it works well and where it still needs a human. Experimental status: These are experimental templates. They are not a replacement for analyst judgment and should not be used to generate reports that go to stakeholders without review. The intent is to reduce the time cost of first-draft report writ...