What is the main difference between Prediction Guard and a standard AI gateway?

Prediction Guard goes beyond simple traffic management by enforcing security policies and governance directly within your own infrastructure. It allows you to host models and agents behind your firewall to ensure sensitive data never leaves your security boundary.

Which AI models and platforms can be integrated with Prediction Guard?

Prediction Guard unifies fragmented assets including AWS Bedrock, Azure OpenAI, and self-hosted models into a single secure environment. It also provides compatible APIs for OpenAI and Anthropic to ensure seamless integration with your existing AI tools and codebases.

Prediction Guard Review – Cost, Use Cases & Alternatives [2026]

AIChief Verdict

The AIChief editorial team believes Prediction Guard shifts from simple traffic management to deep system governance. This platform empowers enterprises to secure their agents and model interactions before any data leaves their private infrastructure. Moreover, the tool significantly reduces the number of services required to meet strict NIST and OWASP security standards. Hosting generative AI behind a firewall is a massive competitive advantage for any modern enterprise. It provides a self-hosted control plane that ensures operational control remains within your own security boundary. In addition, the system supports air-gapped environments and offers hardware flexibility for diverse deployment needs. Developers will appreciate the OpenAI and Anthropic compatible APIs for seamless integration into existing workflows. The solution accelerates agent deployments by 300 percent by satisfying complex security and governance concerns. Furthermore, the system unifies fragmented AI assets and provides detailed AI BOMs for better oversight. This approach lowers the total cost of ownership by replacing multiple point solutions with one unified harness. Ultimately, it provides the essential connective tissue needed for a truly sovereign and governed AI transformation.

Reviewed by AIChief Editorial Team

Manually verified under AIChief's editorial standards for accuracy, proper categorization, and brand safety.Learn about our review process ->

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What is Prediction Guard?

Prediction Guard is an enterprise-grade AI governance and security platform designed to manage and secure agentic AI systems within an organization's own infrastructure. Built by a team with over a century of combined AI experience, it addresses the critical need for sovereign AI control by enforcing security policies before data leaves the network. The tool allows enterprises to compose, govern, and deploy AI systems that include models, MCP servers, and application connections while maintaining full operational control. It solves the problem of fragmented AI security by providing a unified control plane that aligns with NIST and OWASP standards out-of-the-box. Prediction Guard is particularly suited for high-impact environments, such as defense or finance, where data privacy and regulatory compliance are paramount. Users can build agents via a no-code interface or integrate custom solutions through OpenAI-compatible APIs. Ultimately, it streamlines the path to production for AI agents while significantly reducing the total cost of ownership for AI security infrastructure.

AI Tool Review Summary

Performance Score

4.8/5

Content/Output Quality

High, secure, and policy-compliant

Interface

Professional and developer-centric

AI Technology

LLMNLPAI GovernanceSecurity Orchestration

Purpose of Tool

To provide a secure, self-hosted control plane for governing and deploying enterprise AI agents.

Compatibility

Infrastructure agnostic with support for major clouds, on-premises, and air-gapped environments.

Pricing

Enterprise-focused with custom quotes via demo

Features

Features with the highest value for users are highlighted here.

Self-hosted AI control plane

Automated AI Bill of Materials

NIST and OWASP compliance

No-code Agent Forge builder

Infrastructure-agnostic deployment

OpenAI and Anthropic compatible APIs

Support for air-gapped environments

How It Works

Connect Infrastructure

Deploy the Prediction Guard control plane within your own cloud, on-premises, or air-gapped environment.

Configure Policies

Define and enforce AI security and governance policies that align with global standards like NIST and OWASP.

Build Agents

Create AI agents using the no-code Agent Forge builder or integrate via developer-friendly, compatible APIs.

Monitor and Audit

Track AI system interactions, analyze vulnerabilities, and maintain detailed audit logs for full operational transparency.

Who Is It For?

Enterprise Security Officers

AI Developers

Compliance Managers

Defense Agencies

Product Managers

IT Infrastructure Teams

No-Code Builders

Financial Services

SaaS Providers

CTOs

Pricing

Popular

Standard

Custom/monthly

OpenAI/Anthropic APIs
Agent Forge access
Security policy enforcement
Standard support

Enterprise

Custom/monthly

Self-hosted control plane
NIST/OWASP alignment
Air-gapped support
Advanced AI BOMs

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Pros & Cons

Pros

Provides exceptional security by keeping data within your own infrastructure.
Simplifies compliance with built-in support for major industry standards.

Cons

Requires internal resources to manage the self-hosted infrastructure.
Might be overly complex for small teams with basic AI needs.

FAQs

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Rating

5.0

Pros

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