Coding Assistant Security

AI coding assistants can read and modify source code, run commands, and create changes inside your development environment.

Map the actions they request, and the context they receive.
Every interaction is recorded, showing what code can be modified, which systems may be affected, and the full scope of assistant activity within your environment.

Coding assistants process rich development context, including code snippets, configuration files, and inline credentials.

Detect in real time secrets, proprietary logic, and commands that introduce risk. Identify unsafe instructions before execution and ensure that sensitive information is not transmitted unnecessarily.

Coding assistants often operate inside high-privilege development environments. This level of access requires clear boundaries around which assistants are approved, who may use them, and what capabilities are enabled.

Centralize governance without requiring endpoint agents or modifications to developer tools. Ensure AI assistants are deployed and used within defined organizational policies.

Coding assistants change code, call tools, and execute commands dynamically based on prompts and context.

Enforce real-time policies that restrict unsafe actions and control tool invocation, while redacting sensitive values such as API keys or credentials from prompts before they are transmitted to the LLM. Record each interaction to create a verifiable audit trail of coding assistant activity.

AI coding assistants introduce new security questions for development teams and security leaders alike. Without clear visibility into assistant activity, investigations often require explanations, back and forth, and lost engineering time.

Give developers confidence to use AI tools. Security teams retain oversight without slowing innovation.