Solution
Security for AI coding agents
Wingback secures AI coding agents on developer machines: Cursor, Claude Code, GitHub Copilot, Windsurf, and local MCP servers. Detect shadow AI, control tool and file access, and stop risky actions inline.
Updated
Cursor, Claude Code, GitHub Copilot, and Windsurf now sit on most engineering laptops. They read your source and secrets, run commands, and call MCP servers. Wingback discovers every one and controls what it is allowed to do, on the device and before a risky action runs.
The problem
A coding agent runs with the developer’s own privileges. It can open any file, execute a shell command, install a dependency, and reach an external API or MCP server. That is what makes it useful, and also what makes it dangerous. Personal API keys move company code to unsanctioned providers, auto-approve settings let an agent act without review, a poisoned tool or a malicious skill can turn the assistant into an exfiltration path, and none of it shows up in endpoint EDR or static code scanning. The tools live below the layer those controls watch.
How Wingback secures coding agents
- Discover on every device. A browser sensor (Chrome and Edge) plus native macOS and Windows agents sweep for coding assistants, MCP servers, skills, and local models every few minutes, and merge into one device identity.
- Score the posture. 20+ checks mapped to the OWASP MCP Top 10 flag hardcoded credentials, cleartext transport, tool poisoning, auto-approve configs, and homoglyph server names, backed by a live feed of malicious-skill indicators.
- Enforce at the edge. An embedded policy engine and hooks inside coding agents (for example Claude Code PreToolUse) can warn, mask, or block a tool call before it executes, and hold even when the device is offline.
- Catch shadow AI. Unsanctioned tools, personal-account usage, and data leaving to unapproved providers are surfaced and attributed.
Coverage
- Coding agents: Cursor, Claude Code, GitHub Copilot, Windsurf, and generic AI web apps.
- Local MCP servers (stdio), agent skills, and local models (Ollama, LM Studio).
- Rollout via MDM (Intune, Jamf, GPO) with a 60-second heartbeat and one device identity across sensors.