Today’s coding assistants do not just suggest code. They act. The agent reads repositories, writes files, runs commands, calls tools, chooses models, and operates inside the same workflows developers use to build and ship software. That puts source code, secrets, local runtimes, package managers, Model Context Protocol (MCP) tools, and shell access inside a single AI-assisted session.

Traditional controls were not built for that path. Static analysis sees code after it exists. File-based Data Loss Prevention (DLP) is not designed for secrets or source code that leave through a prompt rather than an upload. Secure web gateways often cannot decode the protocols coding assistants use without breaking the user experience.

Aurascape decodes SSE, MCP, Protobuf, WebSockets, and gRPC, so it understands what the assistant reads, sends, generates, and runs. Native streaming is preserved, so inspection does not slow developers down. It supports the tools developers already use, from Claude Code and Cursor to GitHub Copilot, Codex, Windsurf, and more.

The solution brief covers the six risks coding assistants create, from source code exfiltration and secrets in prompts to poisoned packages, destructive shell commands, and unapproved models and licenses. It details the controls Aurascape enforces inline, how coding guardrails differ from code scanners and network controls, and what security, engineering, developers, compliance, security operations, and leadership each get.