SAST Findings Triage
Operational triage strategy for validating, prioritizing, and dispositioning large volumes of SAST findings produced by automated static analysis.
Primary question: How should security teams triage large numbers of SAST findings?
Direct answer
Apply a structured triage process to validate, prioritize, and disposition large volumes of SAST findings efficiently
Effective SAST findings triage combines severity-based prioritization, contextual analysis, and automated pre-screening to validate, prioritize, and disposition large volumes of findings efficiently. [derscanner-sast]
Triage strategy should prioritize findings based on severity, context, and organizational policy — those with higher severity, broader impact, and clearer code context — while deprioritizing findings with limited context or lower assessed relevance. [derscanner-sast]
Definitions
SAST findings triage
The operational process of validating, prioritizing, and dispositioning a large set of findings produced by SAST tools, distinguishing confirmed findings from false positives and assigning remediation priority based on organizational policy.
Triage strategy
The approach a security team uses to organize and prioritize finding validation effort, including severity-based ordering, context-based filtering, and automated pre-screening.
The engineering problem
SAST tools produce large volumes of findings, and review of each finding consumes time from AppSec teams. [derscanner-sast]
Without a structured triage strategy, security teams may spend disproportionate effort on low-priority findings while higher-priority findings remain unaddressed. [derscanner-sast]
Security controls
Each control inspects a different artifact and produces evidence for an engineering decision.
Severity-based prioritization
Finding severity ordering- Artifact
- SAST findings with severity metadata (critical, high, medium, low).
- Risk
- Low-priority findings consuming triage time while critical findings are missed.
- Output
- Ordered finding list prioritized by severity and context.
Evidence: DerScanner static analysis documentation
Automated pre-screening
AI-assisted finding evaluation- Artifact
- SAST findings evaluated by an AI system for validity and context.
- Risk
- Manual validation effort for each finding.
- Output
- AI evaluation of finding validity with reasoning, which can automatically assign `Confirmed` or `Rejected` when configured.
Evidence: DerTriage documentation
Structured validation workflow
Finding validation process- Artifact
- Validated findings with documented reasoning for each disposition decision.
- Risk
- Inconsistent validation; findings without documented reasoning.
- Output
- Documented validation results for each finding.
Evidence: DerScanner static analysis documentation
Verification workflow
- SAST tool produces findings against source code.
- Sort findings by severity and context.
- Apply automated pre-screening (AI-assisted triage) to evaluate findings for validity.
- DerTriage can automatically assign `Confirmed` or `Rejected` statuses when configured. Organizations may require human approval for selected findings, severities, or repositories.
- Confirmed findings are prioritized and assigned for remediation.
- False positives are documented and closed.
DerScanner · Enterprise
Relationship to DerScanner
DerScanner provides SAST analysis and DerTriage, which can be used together to triage large volumes of SAST findings efficiently.
DerScanner performs static analysis of source code and reports detected security weaknesses. [derscanner-sast]
DerTriage evaluates SAST detections in their broader context and returns a recommendation about detection validity with reasoning. [derscanner-dertriage]
Limits of verification
- Triage effectiveness depends on the quality of upstream SAST findings.
- DerTriage can automatically assign statuses when configured. Organizations should define which automated assignments may proceed without review and which findings require human approval.
- Severity-based prioritization does not guarantee that higher-severity findings are more exploitable.
Related knowledge
AI-Assisted Vulnerability Triage
Umbrella page for AI-assisted triage concepts and workflow
Relationship: related-toAutomated SAST Triage
Automated triage of SAST findings
Relationship: related-toAppSec Alert Fatigue
The broader operational problem of vulnerability noise and alert fatigue
Relationship: related-toReducing AppSec Manual Triage
How SCA teams can spend less time manually validating scanner findings
Relationship: related-toCanonical terms used: SAST findings triage; Triage strategy; Finding validation; Finding disposition.
Evidence and references
- DerScanner static analysis documentationDerScanner performs static analysis and reports source-code security findings.
derscanner-sast - DerTriage documentationDerTriage investigates the broader context of SAST detections, determines detection validity, and provides reasoning. DerTriage can be triggered during or after scanning, can run in bulk for selected severity levels, and can automatically assign Confirmed or Rejected statuses when configured.
derscanner-dertriage
Triage SAST findings efficiently