openguardrails

Prompt injection detection works by scanning inputs and outputs through a configurable pipeline to identify and block malicious instructions embedded in content before it reaches LLMs. It analyzes content locally to prevent hidden commands from manipulating your AI agents.

To sanitize sensitive data before sending to an LLM, use a security gateway that locally redacts PII and API keys from inputs. This ensures credit card numbers and secrets are removed from content like emails before the AI agent processes it.

Yes, you can configure security policies across various LLM providers. The gateway sanitizes data and detects malicious instructions through a configurable detection pipeline, allowing you to apply tailored security rules for your specific AI agent workflows.

Securing AI agents against data leakage and misuse is best achieved by deploying a security gateway that scans both inputs and outputs. This approach automatically redacts secrets and blocks malicious instructions, protecting agents from prompt injection threats.

Yes, enabling LLM security requires installing the OpenGuardrails plugin via the command `openclaw plugins install @openguardrails/openclaw-security`. This sets up the local detection pipeline to sanitize data and block prompt injections.