AI SOC Tools with Auditable Investigations Must Show Their Work. Corelight Lays Out the Steps and Evidence Behind Each Verdict.
 uses the same natural-language approach for data-security investigations, letting teams question findings while keeping the eventual action subject to human approval. For instance, an analyst can ask how much data each computer on the organization's network transferred over the last 24 hours. The [generated query appears alongside an explanation](https://investigator.corelight.com/docs/nlq.html) of how the system interpreted the question and constructed the search. More importantly, analysts can inspect and change the query instead of treating the AI's answer as final. This makes it easier to understand how a search was constructed, an important part of making natural language network investigation auditable. Rather than relying on an opaque answer, analysts can examine the query and its results directly. So, when evaluating this capability, buyers weighing AI alert triage tools should ask to see the generated query alongside its results.](https://saastake.com/wp-content/uploads/2026/11/Auditable-AI-Investigation-Flow_11zon.png)
