Scale Your AI Agents Without Losing Control
A zero-trust platform that governs every model, tool, and agent from inside your own infrastructure — helping teams move from pilot to production dramatically faster.
Capabilities
One Control Plane for Every Agent
A lightweight control plane runs alongside your agents inside your own environment, giving you sovereign control over agent behavior, data access, observability, and cost — so nothing has to leave your network to stay governed.
Foundation
Built on a Zero-Trust Control Plane
Every agent operates on top of Prediction Guard’s control plane — a lightweight layer that runs directly inside your own infrastructure, alongside your agents. It gives you full ownership over how agents behave, what they can reach in your supply chain, how much visibility you have into their activity, and what they cost to run. By keeping agents scoped to only what they need, it shrinks the damage any single agent could cause if something goes wrong.
Fragmented AI Tools Create Blind Spots
When agents, models, and tools aren’t governed from a single place, teams lose visibility into what agents are actually doing — and risk compounds with every new integration.
Access without limits
Agents that can reach more systems than they need widen your exposure if something goes wrong.
Policy enforced inconsistently
Without centralized rules, agents can drift outside the guardrails you set for them.
Little to no visibility
Teams can’t see agent actions, tool calls, or policy violations as they happen.
Works With the Tools Your Team Already Uses
No rip-and-replace required. Prediction Guard’s API speaks OpenAI, Anthropic, and MCP out of the box, so your developers keep building with LangChain, CrewAI, Claude Code, and the OpenAI SDKs — governance runs underneath, not in their way.
Schedule your plant evaluation with an integration expert.
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Inside the Platform
Agent Forge
Spin up agents fast. Interactive or autonomous, built through the API or a plain-language prompt. Every human and agent identity is tracked automatically, so policy gets enforced without anyone having to remember to follow it.
API / SDK Layer
One API sits on top of the control plane, whether you’re running self-hosted or cloud models. Your team keeps its preferred tools; governance happens underneath, invisibly.
Control Plane
The zero-trust foundation everything else runs on. It lives inside your own infrastructure, giving you sovereign control over agent behavior, data access, observability, and cost — and keeping the blast radius small if something goes wrong.
Measurable Impact for Regulated Enterprises
Organizations consolidating their AI governance onto a single platform report:
90%
Fewer distinct services needed to align with major AI governance frameworks
300%
Faster time from prototype to production for AI agents
4x
Lower total cost of ownership vs. stitching together separate point solutions
Our Process
Getting started is straightforward. We’ll take a close look at your current setup, walk you through the best options, and help you implement solutions that make an immediate impact.
Environment Assessment
We start with a comprehensive assessment of your current production environment, identifying inefficiencies, data gaps, and integration opportunities.
System Design
Based on evaluation findings, we design a tailored Prediction Guard architecture that aligns with your production goals and integrates with existing infrastructure.
Deployment
Our implementation team deploys the Prediction Guard solution in phases, minimizing disruption while ensuring thorough testing and operator training at every stage.
Ongoing Support
Post-deployment, we provide continuous monitoring, system optimization, and technical support to ensure your Prediction Guard investment delivers long-term value.
Let's chat.
Talk to us to learn more about Prediction Guard integration. Book a customized demo and a one-on-one consultation, and we’ll answer your specific questions and help you find the services that best fit your business.
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