StackHawk’s Wingman auto-fixes security flaws inside AI coding agents
AI coding agents ship code fast. Security review does not. StackHawk just launched Wingman, a tool designed to close that gap by pushing vulnerability scanning and remediation directly into the agentic session where code is written.
What Wingman Does
Wingman plugs into existing AI coding workflows and runs a find-fix-verify loop. Once an agent marks a feature complete, Wingman starts the application, scans it to mimic an attacker, sends the findings back to the same coding agent that wrote the code, and then rescans after the agent has made corrections. The goal is to resolve issues before a pull request is opened, not after it lands in a security backlog.
Each test is tied to a specific commit, creating a traceable record of what was scanned and verified before release.
Supported Agents and Platforms
Wingman is built to work with Claude Code, Cursor, GitHub Copilot, Codex, and Antigravity. It is designed to stay inside the coding session and the CI pipeline rather than routing developers to a separate security tool.
Early Rollout Numbers
During early access, customers ran Wingman across more than five AI coding agents. The product automatically fixed more than 7,500 vulnerabilities, with 98% of those fixes holding without regressions, according to StackHawk. Issues addressed included remote code execution, SQL injection, and cross-site scripting.
Pricing
- $10 per user per month
- Unlimited applications
- 50 scans per user per month
- Available to individual developers and teams
StackHawk serves more than 200 organisations with application and API security tools. The company forecasts that by 2027, more than 65% of engineering teams using agentic coding will treat traditional IDEs as optional, a shift it is positioning Wingman to serve.
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