From False Positives to Fixed Code: AI’s Role in SAST Triage

AppSec teams know the pain: your SAST tool flags hundreds — sometimes thousands — of “critical” issues. But after hours of manual review, most turn out to be false positives or low-priority noise. It’s inefficient, frustrating, and feels like a waste of time. That’s why teams are turning to AI — not just to identify risk, but to triage, prioritize, and fix it automatically. In this article, we explore how AI-powered code remediation tools like Mobb help teams move from noisy scanner output to secure code — without burning time or trust.

The Problem with SAST Today

SAST tools are powerful but flawed:

• They generate a high volume of results
• They lack context around code usage or environment
• They often flag theoretical vulnerabilities that aren't exploitable
• They provide no remediation path — just a list of problems

This leads to:

• Alert fatigue for developers
• Stalled remediation pipelines
• Critical issues getting buried under false positives

Related: What Causes False Positives in SAST Tools?

How AI Improves SAST Triage and Remediation

AI helps teams cut through the noise by automating three critical steps:

1. Triage
   • Filters out false positives
   • Prioritizes real vulnerabilities
   • Flags issues that align with business risk and exploitability
2. Remediation
   • Applies context-aware, deterministic fixes
   • Integrates directly into the developer’s workflow (e.g. GitHub/GitLab PRs)
   • Fixes issues before they hit production
3. Feedback Loop
   • Reinforces which fix patterns work across projects
   • Helps build institutional knowledge around recurring issues

How Mobb Turns SAST Noise Into Secure Code

Mobb isn’t just a scanner overlay — it’s a remediation engine built to work with your SAST, not replace it. Here’s how:

• Integrates with leading SAST tools (Checkmarx, Fortify, Snyk, etc.)
• Automatically triages results to surface real vulnerabilities
• Fixes the issues deterministically inside GitHub/GitLab PRs
• Saves time for AppSec teams and developers alike
• Delivers reports to support compliance and audit needs

Dive deeper: How to Build an Effective SAST Triage Workflow

Why AI-Driven Triage Is Essential Today

Manual triage is too slow. Developer trust is too fragile. And security debt is growing too fast. AI bridges these gaps by:

• Reducing time spent on non-issues
• Freeing up AppSec engineers to focus on strategic risks
• Helping developers receive fewer — but more actionable — security alerts
• Fixing issues before they even leave the PR

Related: 5 Problems AI Code Fixing Solves for AppSec Teams

Conclusion: Noisy Tools Need Smarter Fixes

False positives will always be part of the SAST landscape — but they don’t have to slow you down. With AI-powered tools like Mobb, AppSec teams can finally scale past the noise, turning scanner chaos into clean, secure code.

Ready to clean the noise and fix what matters? Try Mobb today