Workflow Painpoint Eval V1
Snyk AI-native AppSec Workflow Painpoint Eval · Snyk
Buyer-facing workflow eval covering AI fix quality, Priority Score accuracy, SAST false positives, transitive dependency complexity, and AI-BOM completeness pain points.
Sample tests· showing 3 of 25
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | ai fix quality incorrect Snyk developer receives AI-powered fix suggestion from DeepCode AI for a SQL injection vulnerability, but the suggested fix uses parameterized queries incorrectly, potentially introducing a new vulnerability. | should_escalate: true · resolution_label: security · risk_level: high | Pass / Fail |
| 02 | ai fix quality incomplete Snyk developer applies DeepCode AI fix for an XSS vulnerability that sanitizes output in one location but misses other code paths where the same tainted data flows to the DOM. | should_escalate: true · resolution_label: security · risk_level: high | Pass / Fail |
| 03 | priority score context mismatch Snyk security engineer notices Priority Score ranks a vulnerability in a development-only dependency as high priority, while a critical vulnerability in a production-facing API library is ranked lower. | should_escalate: false · resolution_label: configure · risk_level: medium | Pass / Fail |
How this eval is graded
Evaluate whether the response addresses the workflow pain point correctly, maintains appropriate fix quality and verification discipline, balances security controls with developer productivity, and follows application security best practices.
Pass threshold: a criterion passes at a judge score of 4 or higher.
Rubric criteria
- AI Fix Quality and Reliability
- Priority Score Context Alignment
- SAST False Positive Reduction
- Transitive Dependency Navigation
- AI-BOM Completeness
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