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Welcome to BeyondGuard, the enterprise AI security platform purpose-built for the age of agentic AI. BeyondGuard deploys specialized security guards across every layer of your AI stack — protecting prompts, agents, MCP/tool integrations, data pipelines, and model outputs — all managed through a single unified control plane. Whether you are running a customer-facing LLM, an autonomous agent fleet, or a RAG-powered knowledge system, BeyondGuard gives you the visibility, policy controls, and enforcement mechanisms to operate AI confidently in regulated, high-stakes environments.

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Explore the Documentation

Introduction

Understand why AI demands a new security approach and how BeyondGuard closes the coverage gap.

Quickstart

Connect BeyondGuard to your AI stack and deploy your first guard in minutes.

Core Concepts: Guards

Learn how BeyondGuard’s five specialized guards map to the threats they prevent.

Guards Overview

Dive into the Prompt Guard — the first line of defense for every LLM interaction.

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Get Up and Running

Follow these four steps to move from zero AI-specific security controls to active threat enforcement.
1

Connect Your AI Stack

Integrate BeyondGuard into your existing AI pipeline using the SDK or REST API. BeyondGuard sits independently between your application and your models, requiring no changes to model configuration or hosting.
2

Configure Guards

Select which of the five guards — Prompt Guard, Agent Guard, MCP Guard, Data Guard, and Output Guard — apply to your deployment. Each guard targets a distinct layer of your AI value chain and can be enabled independently.
3

Set Policies

Define what BeyondGuard should do when a threat is detected: block, flag, redact, or alert. Policies are configured in the Control Plane and applied uniformly across all guarded projects without touching your model code.
4

Monitor and Enforce

Navigate to the Threat Events dashboard to review intercepted threats, audit decision logs, and track your security maturity level — from L0 (Unmanaged) through to L5 (Continuous Governance).
Start with Prompt Guard to establish baseline visibility into your LLM interactions before layering in Agent Guard, MCP Guard, and the rest. Even L1 (Visibility) is a significant step forward from zero AI-specific controls.