StackHawk Launched Wingman for AI Code Security
The new security tool automates vulnerability remediation for teams using AI-assisted coding platforms.
Updated on Sept. 24, 2026 in Cybersecurity
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StackHawk has released Wingman, a specialized security tool designed to identify and fix software vulnerabilities during AI-assisted development. The product aims to bridge the security gap created as software teams increasingly rely on AI to generate code.
Why it matters
Software teams are using AI to build features at record speeds, often leaving security reviews struggling to keep pace. Wingman attempts to solve this by providing automated testing and feedback directly to AI coding agents.
Wingman costs USD $10 per user per month and includes 50 scans per user monthly. It supports integration with major platforms including Claude Code, Cursor, GitHub Copilot, Codex, and Antigravity.
The players
StackHawk
StackHawk is a software security company that develops automation tools for application vulnerability management.
Gartner
Gartner is a global research and advisory firm that provides insights and data for business and technology leaders.
The details
The tool functions by triggering a scan upon the completion of a feature, testing for security flaws, and feeding the findings back to the AI agent. Results are then reported to the continuous integration pipeline and mapped to specific code commits.
Timeline
StackHawk launched the Wingman tool on September 24, 2026.
Gartner predicts shifts in IDE usage by 2027.
The Tech Race
This release follows the trend identified by the 2027 Gartner forecast on IDE usage. It marks a shift toward specialized agentic security tools that replace traditional manual development workflows.
Engineering teams can utilize a 14-day free trial to evaluate if the tool fits their existing AI coding workflow. By automating security tests, developers may reduce the time spent on manual code reviews and vulnerability patching.
The takeaway
As coding shifts toward AI-driven models, security tools must move from passive observation to active, automated participation in the development loop. Developers should prioritize tools that integrate directly into the AI agent workflow to maintain code integrity without slowing deployment cycles.
Further reading
For more on industry threats, visit Cybersecurity.
Source note: This article includes information reported by SecurityBrief Asia.
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Do you trust security software to automatically identify and fix flaws in AI-generated code?
