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SRC009 — https://www.pixee.ai/blog/sast-false-positives-reduction

Contents

Metadata

Field Value
URL https://www.pixee.ai/blog/sast-false-positives-reduction
Authors Pixee AI
Date March 24, 2026

Content Summary

Reports that Ghost Security's 2025 scan of public GitHub repos found 91% of SAST findings are false positives. OX Security's 2026 benchmark across 250 organizations found 865,398 average annual alerts, of which only 795 (0.092%) were critical after reachability analysis. Veracode data shows 82% of organizations harbor security debt.

Reliability: Medium

Vendor blog aggregating multiple data points — individual citations are verifiable but presentation is commercially motivated.

Relevance: High

Directly addresses false positive rates in SAST/SCA tools — central to Q002 barrier analysis.

Bias Assessment

Domain Rating Rationale
Missing Data Some concerns Selectively cites data supporting the false positive narrative while omitting tool-specific improvements.
Measurement Some concerns Aggregates multiple studies with different methodologies and definitions of false positive.
Selective Reporting High risk Vendor selling false-positive-reduction tools — presentation emphasizes worst-case FP rates.
Randomization N/A Compilation of observational data.
Protocol Deviation N/A Not an RCT.
Conflict Of Interest High risk Pixee sells exploitability analysis tools that directly compete with traditional SAST — strong commercial incentive.

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