Build Safe and Reliable AI Agents with Guardrails
Define policies, enforce compliance, and prevent unwanted actions in real time using Akto’s AI Guardrail Engine.
AI Agent Guardrails Cheatsheet
AI Agent Guardrails Cheat Sheet: Risks, Best Practices & Implementation
Create Custom Guardrail Polcies
Define and enforce custom AI guardrail policies tailored to your organization.
Validate Your AI Guardrail Policies Before Going Live
Test and validate guardrail policies safely before deploying to production agents.
What are agentic AI guardrails?
Guardrails are policies enforced at runtime that govern how AI agents behave, what tools they can access, and how they handle sensitive data - preventing unwanted actions before they execute.
What types of policies can I create?
Akto's AI Guardrail Engine supports both 30+ rule-based as well as custom policies to control model behavior, tool access, and sensitive data flow.
When are guardrails enforced?
Akto intercepts and evaluates every AI action before execution - blocking unsafe responses and escalating critical ones - rather than only flagging issues after the fact.
What threats do guardrails block?
Configurable policies cover prompt injection, jailbreaks, sensitive data leakage, unauthorized tool use, schema violations, and other unsafe agent behavior.
Do guardrails only inspect prompts and responses?
No. Akto's runtime guardrails go beyond standalone LLM calls - they evaluate tool invocations, MCP requests, and agent actions across the agentic workflow.