StackHawk’s Wingman fixes security flaws while the AI agent is still coding

What changed

StackHawk introduced Wingman, a security tool that integrates directly into AI coding workflows like Claude Code, Cursor, and GitHub Copilot. Wingman automatically scans and fixes security flaws as soon as an AI coding agent marks a feature complete. Unlike traditional post-development scans, Wingman acts in real time within the ongoing AI-driven coding session.

Why builders should care

Developers relying on AI agents for code generation face a higher risk of security gaps slipping through unnoticed. Wingman shifts vulnerability detection earlier, catching flaws before the code moves downstream. This reduces the friction of separate security reviews and cuts cycle times for safe code deployment. It also translates to fewer costly reworks and less exposure to exploit risks later in the software lifecycle.

The practical takeaway

For teams using AI tools to accelerate coding, Wingman promises to embed security fixes within their existing agent workflows. This tight integration means fewer distractions and smoother handoffs between AI coding and security validation. Builders should expect faster iteration cycles on secure codebases and potentially lower security debt. However, Wingman’s effectiveness depends on how well it configures itself and responds across varied AI agents and coding environments.

What to watch next

It will be important to see how widely Wingman integrates across diverse AI development tools beyond the initial platforms. Tracking adoption by teams already using AI-assisted programming will reveal whether real-time security fixes streamline or complicate development. Also, examining the rate of false positives or missed vulnerabilities in Wingman’s scans will show if it reliably matches traditional security assessments or introduces new operational risks.

AI Quick Briefs Editorial Desk