Product Brief

Validate Your AI Guardrail Policies Before Going Live

The Guardrail Playground in Akto lets teams define a guardrail policy - naming it, setting severity, and configuring content filters mapped to OWASP Agentic AI standards - then run real prompts against it to see what gets blocked or passed, allowing fine-tuning before enforcement goes live on production agents.

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Explore More Resources

The LiteLLM Production Security Checklist

A production checklist to harden LiteLLM and add Akto’s runtime guardrails before every model call.

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Personal AI Agents: Enterprise Security Checklist

Akto’s six-step checklist for securing personal AI agents like Grok Bot, Instinct, and Muse.

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Akto + LiteLLM Solution Brief

Model-based guardrails and red teaming for AI agents routed through LiteLLM.

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The LiteLLM Production Security Checklist

A production checklist to harden LiteLLM and add Akto’s runtime guardrails before every model call.

Download pdf

Personal AI Agents: Enterprise Security Checklist

Akto’s six-step checklist for securing personal AI agents like Grok Bot, Instinct, and Muse.

Download pdf