Power User Ops Eval V1
Autonomous AI SOC Analyst Power User Ops Eval · Dropzone AI
Operator-facing eval focused on evidence quality, handoff completeness, and low-noise workflow control.
About Dropzone AI
Dropzone AI automates the triage and investigation of security alerts, acting as a tireless AI analyst that processes every alert with the same rigor as a senior human analyst. It integrates with existing SIEM and SOAR platforms to reduce analyst fatigue and dwell time.
Sample tests· showing 3 of 12
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Dropzone AI security analyst is reviewing a case summary that points to possible account takeover but omits the evidence chain and owner handoff. The operator needs a corrected escalation packet. | should_escalate: true · resolution_label: escalate · risk_level: high | Pass / Fail |
| 02 | Dropzone AI soc manager is reviewing a case summary that points to possible account takeover but omits the evidence chain and owner handoff. The operator needs a corrected escalation packet. | should_escalate: true · resolution_label: escalate · risk_level: high | Pass / Fail |
| 03 | Dropzone AI incident commander is reviewing a case summary that points to possible account takeover but omits the evidence chain and owner handoff. The operator needs a corrected escalation packet. | should_escalate: true · resolution_label: escalate · risk_level: high | Pass / Fail |
How this eval is graded
Evaluate whether the response makes the correct escalation decision, preserves operator trust, avoids unsafe overreach, and follows security workflow constraints under realistic incident pressure.
Pass threshold: a criterion passes at a judge score of 4 or higher.
Rubric criteria
- Evidence Traceability
- Handoff Quality
- Noise Discipline
Recommended for
Works with
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