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Copy file name to clipboardExpand all lines: docs/guardrails/explorer.md
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@@ -12,7 +12,10 @@ Learn how to configure and manage your guardrailing rules in Explorer.
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It exposes a simple configuration interface, that allows you to configure, test and deploy guardrails to your agentic system, as well as inspect guardrail failures in detail.
<figcaptionstyle="text-align: center; font-size: 0.8em; color: #666;">Configuring guardrails in Explorer</figcaption>
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</figure>
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Here, you are presented with two options:
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Newly pushed traces with Guardrail violations will be automatically annotated with Guardrail violation annotations, highlighting the exact range and location of the guardrail violation in the agent trace.
<figcaptionstyle="text-align: center; font-size: 0.8em; color: #666;">Guardrails precisely highlights the location and cause for guardrail violations in the agent trace, allowing users to exactly pinpoint the cause of the violation.</figcaption>
Copy file name to clipboardExpand all lines: docs/guardrails/index.md
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This chapter has introduced you to the fundamentals of guardrailing with Invariant. We have covered the basics of writing rules, and how to deploy and maintain them.
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To learn more about the different types of rules and how to write them, please refer to the [Rule Language](./rules.md) chapter, which covers the different types of rules you can write with Invariant, and how to use them to secure your agentic systems.
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To learn more about the different types of rules and how to write them, please refer to the [Rule Language](./rules.md) chapter, which covers the different types of rules you can write with Invariant, and how to use them to secure your agentic systems.
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## Next Steps
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If you are interested in learning more about Guardrails, we recommend the following resources:
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<divclass='tiles'>
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<ahref="rules"class='tile primary'>
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<span class='tile-title'>Rule Language Reference →</span>
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<span class='tile-description'>Jump straight into the syntax and semantics of writing guardrailing rules.</span>
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@@ -5,7 +5,7 @@ title: Invariant Agent Security
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# Invariant Agent Security
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<divclass='subtitle'>
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Use Invariant Guardrails for high-precision agent security, monitoring and to ensure reliable and consistent behavior.
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High-precision guardrailing for agentic AI systems.
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</div>
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Invariant is a **security layer to protect agentic AI systems**. It helps you to prevent prompt injections, data leaks, steers your agent, and ensures strict compliance with behavioral and security policies for your AI systems.
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<div class='tiles'>
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<a href="gateway/" class='tile primary'>
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<span class='tile-title'>Gateway →</span>
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<span class='tile-description'>Setup the Invariant Gateway to trace and intercept LLM calls</span>
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<span class='tile-title'>Secure with Gateway →</span>
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<span class='tile-description'>Set up Invariant Gateway to intercept and control LLM calls from your agent.</span>
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</a>
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<a href="explorer/" class='tile primary'>
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<span class='tile-title'>Observe and Debug →</span>
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<span class='tile-description'>Use Invariant Explorer to inspect and debug your AI agent traces</span>
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<span class='tile-title'>Inspect with Explorer →</span>
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<span class='tile-description'>Use Invariant Explorer to debug, visualize and annotate traces.</span>
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</a>
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<a href="explorer/benchmarks" class='tile'>
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<span class='tile-title'>Benchmarks →</span>
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<span class='tile-description'>Submit your AI agent to the Invariant benchmark registry for comparison</span>
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