Ophiuchi

Ophiuchi is an open-source test harness and sandbox environment designed specifically to audit AI agent security boundaries. It tests how LLM agents behave when exposed to malicious code files, prompt injection attacks, and insecure external tool commands.

Key Features of Ophiuchi

• Safe Sandbox Execution: Runs AI agent workflows in isolated, disposable docker containers to protect host environments.
• Prompt Injection Audits: Automatically injects hidden instruction prompts into file systems and web feeds to test agent robustness.
• Resource Access Logging: Monitors all attempts by agents to read environment variables, system directories, or execute shell commands.
• CI Integration: Integrates into pipeline security stages to prevent shipping agents with insecure tool bindings.

Benefits of Using Ophiuchi

• Prevent Agent Exploits: Find and fix prompt injections and tool vulnerabilities before deploying autonomous agents to users.
• Secure Environment Verification: Confirms that agent sandboxing configurations successfully block unauthorized system commands.
• Protect Sensitive Data: Ensure AI helpers do not leak API credentials or system prompts when prompted by users.

API and security testers can run Ophiuchi to launch a local HTTPS proxy, allowing them to test service workers and location APIs in a production-like local environment.