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AI Runtime Guardrails

Guardion provides multiple guardrails to protect your AI systems from various threats and ensure safe, reliable outputs.

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Available Guardrails

Prompt Security

Detect and block prompt injections, jailbreaks, and context hijacking attempts. Backed by ModernGuard models.

Data Protection

Identify and control exposure of personally identifiable information across inputs and outputs.

Content Moderation

Classify and filter unsafe or policy-violating content across multiple safety categories.

Grounding

Detect hallucinations and verify that AI responses are grounded in provided context, documents, or tool results.

Custom

Define your own safety criteria and policies for domain-specific AI content evaluation.

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Guardrail Configuration

Each guardrail can be configured with custom thresholds and policies through the Guardion dashboard or API.
Guardion’s guardrails use advanced machine learning models to analyze inputs and outputs, identifying patterns that match known attack vectors, unsafe content, or ungrounded claims.
Yes, each guardrail allows for custom confidence thresholds to balance security with usability for your specific use case.
Guardrails can be implemented via our API or SDK. Check our Quickstart guide for implementation details.
Need help configuring your guardrails? Contact our Support Team.