5 Problems AI Code Fixing Solves for AppSec Teams

AppSec teams are stretched thin. Between managing vulnerability backlogs, chasing developers, and triaging false positives, it's no surprise that remediation often gets deprioritized. But with AI-generated code flooding pipelines, the need for scalable security has never been greater. AI code fixing offers a path forward — and tools like Mobb are leading the way. Here are five real-world problems AppSec teams face today, and how AI-powered remediation helps solve them.

1. Unmanageable Backlogs

Even the most mature security teams struggle with thousands of unresolved vulnerabilities. Most originate from SAST tools that flood teams with more findings than they can handle.

How Mobb helps:

• Automatically triages SAST results to eliminate noise
• Applies verified fixes for known vulnerabilities
• Cuts backlog size by fixing issues before they pile up

Related: How to Build an Effective SAST Triage Workflow.

2. Constant Developer Follow-Up

AppSec teams often spend more time reminding developers to fix things than actually securing the code. This creates tension, slows down releases, and leads to critical issues being overlooked.

How Mobb helps:

• Fixes vulnerabilities directly in the dev workflow (e.g. GitHub PRs)
• Reduces the need for ticket-based remediation
• Allows security teams to focus on strategic risks — not chasing developers

More on this: Using AI to Automatically Triage and Fix SAST Findings.

3. False Positive Fatigue

Not every vulnerability flagged by a scanner is exploitable. But triaging false positives manually eats up valuable time and erodes trust between security and development.

How Mobb helps:

• Filters out false positives using deterministic triage logic
• Surfaces only actionable, high-confidence issues
• Restores trust in the remediation process

Deep dive: What Causes False Positives in SAST Tools?

4. Missed SLAs and Compliance Deadlines

With limited resources, many AppSec teams struggle to meet internal SLAs or external compliance requirements like PCI DSS, SOC 2, or EO 14028.

How Mobb helps:

• Fixes vulnerabilities instantly — not weeks later
• Enables repeatable, auditable remediation workflows
• Helps demonstrate compliance through automated fix reports

Learn more: AI Code Fixing: Secure Your Codebase at the Speed of Development

5. Slow Mean Time to Remediation (MTTR)

The longer a vulnerability sits unpatched, the greater the risk. But manual remediation timelines are often measured in days or weeks — especially for lean teams.

How Mobb helps:

• Reduces MTTR by fixing issues within minutes
• Fixes are applied directly inside dev pipelines and PRs
• Gives AppSec teams the ability to scale security across more code, faster

Real-world results: How One Team Fixed Thousands of AI-Created Vulnerabilities in a Week

Conclusion: Less Stress, More Impact

AI code fixing isn’t about replacing security engineers — it’s about empowering them. With tools like Mobb, AppSec teams can scale their impact, reduce burnout, and focus on the work that really matters. The problems aren’t going away — but the way we fix them has changed.

🔧 Ready to see what you can take off your plate? Try Mobb for free

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