Why AI Code Security Assistants (ACSAs) Are No Longer Optional

On 29 August 2025, Gartner published its Innovation Insight: AI Code Security Assistants (ACSAs), naming Mobb (again) as a representative provider in this fast-growing category. Gartner predicts that by 2027, 80% of organizations will augment static application security testing with AI code security assistants.

The reason is clear: developers are under constant pressure to deliver faster, yet most lack the time or training to fix security vulnerabilities effectively. In the era of vibe coding, where AI coding tools such as GitHub Copilot, Cursor, or Windsurf generate massive amounts of code instantly, unfixed vulnerabilities can replicate at machine speed. As we explained in our earlier article on how backlogs train AI coding tools, unresolved issues can actually teach an Agentic IDE to repeat the same flaws. Without remediation, organizations unintentionally train their AI assistants to write insecure code.

What Are AI Code Security Assistants (ACSAs)?

According to Gartner, ACSAs help developers identify and remediate vulnerabilities with contextually relevant, developer-friendly guidance. They act as “AI security champions,” embedding security knowledge directly into developer workflows, IDEs, and pipelines.

The goal is to reduce friction while addressing the growing backlog of unresolved vulnerabilities.

Detection Is Not Enough, Remediation Is Critical

Most ACSAs stop at detection or advice, leaving developers with hours of manual work per issue. Mobb goes further.

We integrate seamlessly with findings from the leading commercial scanners and open-source scanners. In fact, Mobb can even run an open-source scanner directly, making it easy for teams to start fixing vulnerabilities without additional tools.

From there, Mobb automatically generates predictable, developer-ready fixes that can be merged back into the codebase with confidence.

This provides two critical outcomes:

• Clears the backlog. Thousands of unresolved vulnerabilities no longer pile up, reducing compliance risk and liability.
• Secures vibe coding. By fixing issues immediately, Mobb ensures insecure patterns do not become part of the “training data” for AI code assistants. Learn more at vibe.mobb.ai.

Why Developer Experience Matters

Security should fit into the developer’s flow, not disrupt it. That is why Mobb delivers fixes directly inside the IDE. No context switching. No extra steps. Just secure code, right where developers need it.

Gartner Recognition Confirms the Shift

Being named by Gartner as a representative provider of AI Code Security Assistants validates what our customers already know: remediation is the key to modern application security. Security without remediation is compliance theater. Security with remediation is resilience.

The Future of Secure Vibe Coding

Organizations today face a choice:

• Keep scanning without fixing, letting vulnerabilities pile up.
• Or adopt ACSAs that generate predictable fixes at the same speed issues are discovered.

At Mobb, we have built that future. By combining predictable AI remediation with support for both commercial and open-source scanning, we close the gap between detection and protection, making vibe coding safe, scalable, and secure.

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