Knowledge · Application Security

SAST Evaluation Criteria

The scorecard dimensions and weighted criteria framework for comparing SAST tools — detection accuracy, coverage, integration, deployment, analyst experience, and total cost of ownership — with scoring rubrics and weight assignment guidance.

Primary question: What weighted criteria and scorecard dimensions should be used to compare SAST tools?

Definitions

Evaluation scorecard

A structured scoring framework that assigns weights to each evaluation criterion and scores each candidate tool against those criteria, producing a quantitative comparison.

Detection accuracy

The ability of a SAST tool to correctly identify genuine vulnerabilities (recall) and avoid reporting non-vulnerabilities (precision), measured against known ground truth on representative codebases.

Coverage breadth

The extent to which a SAST tool can analyze different programming languages, frameworks, vulnerability classes (CWE), and code patterns relevant to the organization's technology stack.

Integration capabilities

The ability of a SAST tool to integrate with existing development and security tooling — CI/CD pipelines, issue tracking systems, code repositories, and security dashboards.

Analyst experience

The quality of the findings produced by a SAST tool, including the clarity of vulnerability descriptions, actionability of remediation guidance, false positive rate, and overall usability of the tool's interface and reporting.

Total cost of ownership

The complete cost of a SAST tool including licensing, deployment, training, maintenance, tuning effort, and ongoing operational costs over the tool's lifecycle.

The engineering problem

Organizations may use vendor-provided criteria or benchmark scores without customizing weights to their own priorities, resulting in evaluations that favor tools with strong marketing over tools that best fit their needs.

Detection accuracy is often over-weighted in evaluations, while integration complexity, analyst experience, and total cost of ownership are under-weighted, leading to tools that detect well but are impractical to operate.

Coverage breadth is difficult to quantify objectively. A tool may claim broad coverage but have shallow analysis for some languages or frameworks.

Security controls

Each control inspects a different artifact and produces evidence for an engineering decision.

Weighted criteria assignment

Criteria weighting
Artifact
A scorecard with each evaluation criterion assigned a weight reflecting organizational priority (e.g., detection accuracy 30%, coverage 25%, integration 15%, deployment 10%, analyst experience 15%, TCO 5%).
Risk
Equal weighting of all criteria regardless of organizational priorities.
Output
Approved weight assignment with documented justification.

Evidence:

Scoring rubric

Scoring framework
Artifact
A defined scoring scale (e.g., 1-5) with clear descriptors for each score level for each criterion, ensuring consistent scoring across evaluators.
Risk
Subjective scoring without a defined rubric, leading to inconsistent results.
Output
Approved scoring rubric with score descriptors.

Evidence:

Score aggregation and comparison

Score comparison
Artifact
A completed scorecard with all candidate tools scored against the weighted criteria, producing a quantitative comparison with clear ranking.
Risk
Aggregating scores without considering individual criterion failures (e.g., a tool with excellent overall score but failing a critical minimum requirement).
Output
Ranked comparison with documented trade-offs.

Evidence:

Verification workflow

  1. Define evaluation criteria based on organizational requirements.
  2. Assign weights to each criterion based on organizational priorities.
  3. Define scoring rubric with clear descriptors for each score level.
  4. Score each candidate tool against each criterion using the rubric.
  5. Aggregate scores using the assigned weights.
  6. Check for minimum requirement failures — tools that fail any critical criterion should be eliminated regardless of overall score.
  7. Review scored results with the evaluation committee — discuss trade-offs and qualitative factors.
  8. Produce a final scorecard comparison with ranking and documented rationale.

Limits of verification

  • Evaluation criteria may need to be adjusted as organizational priorities, technology stack, or development practices change.
  • Weighted scoring systems may not capture the full complexity of SAST tool selection, especially when criteria are interdependent.
  • No single evaluation methodology can guarantee that the selected tool will perform optimally in all production scenarios.

Canonical terms used: SAST evaluation criteria; SAST tool comparison; Detection accuracy; Coverage breadth.

Evidence and references

  1. DerScanner SAST documentationDerScanner SAST analyzes supported source and binary formats, configuration files, and reporting and comparison of analysis results, with command-line interaction with CI systems and SSDLC integration.derscanner-sast

SAST evaluation

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DerSecur Recognition · build 2dac3d6 · 2026-09-07 06:49:25Z · system