StackHawk Wingman fixes AI-coded vulns at $10/user/month
AI coding agents are shipping code faster than security teams can review it. StackHawk’s new product, Wingman, is designed to close that gap by handling vulnerability detection, remediation, and verification inside the same agentic session where the code gets written.
What It Does
Wingman integrates directly into Claude Code, Cursor, and GitHub Copilot, as well as Codex and Antigravity. When a feature is marked complete, it kicks in automatically: configures and boots the running application, scans for vulnerabilities, returns findings to the same AI agent that wrote the code, applies fixes, and rescans to confirm the issue is resolved.
The entire loop runs before a pull request is opened. Results are reported back to the CI pipeline, and each test is tied to a specific code commit, giving security teams a verifiable record of what shipped clean.
Early Numbers
Early-access customers fixed more than 7,500 vulnerabilities across more than five AI coding agents. StackHawk reports that 98% of those fixes held without regressions. The vulnerability types covered included remote code execution, SQL injection, and cross-site scripting.
Pricing
- $10 per user per month
- 14-day free trial
- Unlimited applications
- 50 scans per user per month
The Market Context
Gartner forecasts that by 2027, more than 65% of engineering teams using agentic coding will consider traditional IDEs optional. StackHawk CEO Joni Klippert put the security urgency bluntly: the window between vulnerability disclosure and exploitation can now be negative 15 hours, meaning attackers exploit flaws before they are even publicly known.
Wingman targets the gap between fast AI code output and slow manual security review. Rather than generating another ticket in a backlog, it closes the loop automatically inside the workflow.
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