moltguard

To protect your AI agent from prompt injection attacks, you can use MoltGuard, which detects intent-action mismatches and blocks malicious instructions from hijacking agent behavior. It operates via OpenClaw security guardrails to neutralize threats in user-provided text.

Data exfiltration prevention for AI agents is the process of stopping sensitive information from being leaked by malicious commands. MoltGuard achieves this by analyzing behavioral and data risks to ensure the agent operates safely without exposing private data.

You can detect malicious commands in user-provided text by installing MoltGuard, which identifies and blocks dangerous instructions. It evaluates various risk surfaces including prompt, behavioral, and data risks to find hidden threats.

You do not need an API key to use OpenClaw security guardrails, but it is optional for enhanced features and quota management. The core requirement is installing the @openguardrails/moltguard plugin to enable threat detection.

The best way to secure an AI agent from data risks is to deploy MoltGuard, which scans for intent-action mismatches and multiple risk surfaces. This approach prevents both data exfiltration and prompt injection without altering the agent's core functionality.

Yes, you can use MoltGuard with your existing AI agent scripts by installing the @openguardrails/moltguard plugin. It integrates directly to detect behavioral risks and block malicious commands before they execute.