FOR AI CODING
Secure AI coding without slowing developers down
Secure AI coding assistants across IDEs and CLIs with network-level governance and model access control.
AI coding is not just “end-user AI”
Coding assistants:
Run inside IDEs and command-line tools
Access source code repositories
Interact with private APIs
Execute long-running autonomous tasks
Install their own risky MCP dependencies
Modify infrastructure definitions
Leverage other local or embedded agents
Traditional DLP and endpoint tools weren’t built for AI-assisted development. They either miss the risk or disrupt productivity.
Security teams can:
Route model requests securely
Detect malicious or abnormal use
Apply MCP policy controls
Enforce licensing and usage rules
Protect proprietary code and IP
Secure access to private and public models through network interception and routing. Developers don’t need direct API keys or IAM roles while policy enforcement happens at the network layer.
Innovation continues. Governance stays intact.
Secure AI-assisted development
Keep your code, credentials, and workflows secure.
