Power User Ops Eval V1
Straiker Agentic AI Security Platform Power User Ops Eval · Straiker
Operator-facing eval focused on evidence traceability, handoff quality, noise discipline, and workflow automation for AI security operations.
Sample tests· showing 3 of 25
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | evidence traceability detection Straiker AI security engineer needs to explain to the security operations team why a specific prompt was flagged as injection, showing the detection evidence chain including pattern matches and confidence scores. | should_escalate: false · resolution_label: document · risk_level: low | Pass / Fail |
| 02 | evidence traceability tool call Straiker security analyst investigating a potential tool abuse incident needs to produce a complete trace of all MCP tool calls made by the suspect agent including parameters, responses, and timestamps. | should_escalate: false · resolution_label: document · risk_level: medium | Pass / Fail |
| 03 | evidence traceability red team Straiker red team operator needs to document the attack path used in a successful prompt injection test, showing each step from initial probe to successful exploitation for vulnerability remediation guidance. | should_escalate: false · resolution_label: document · risk_level: low | Pass / Fail |
How this eval is graded
Evaluate whether the response provides adequate evidence traceability, produces complete and decision-ready handoffs, maintains appropriate noise discipline without suppressing real threats, and follows safe automation practices with proper testing and controls.
Pass threshold: a criterion passes at a judge score of 4 or higher.
Rubric criteria
- Evidence Traceability
- Handoff Quality
- Noise Discipline
- Workflow Automation
Recommended for
Works with
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