aist-finding-triage

To classify security findings with evidence, you can run an automated triage process on your pipeline results to label them as True Positive or False Positive and generate supporting evidence links for auditability.

Generating reproduction steps for security analysis findings is done by processing pipeline results to produce standardized AISTAIFindingResponse payloads that include detailed reproduction instructions and status annotations.

Automated triage works by evaluating new pipeline findings against criteria to determine their validity, automatically labeling them as True Positive or False Positive while attaching clear evidence and reproduction steps.

Yes, you can use automated finding classification with downstream triage workflows and dashboards. The process generates standardized AISTAIFindingResponse payloads to support seamless integration and faster decision-making.

Yes, you need the AISTAIFindingResponse schema to annotate finding statuses and evidence. The classification process conforms to this schema by explicitly including evidence, reproduction steps, and status annotations in the output payload.

Classifying pipeline findings manually slows down security analysis because it requires individual review of each alert to determine validity, whereas automated triage supports fast decision-making by instantly providing evidence and reproduction steps.