Prediction Guard is a self-hosted AI control plane governing AI agents, models, and tools within enterprise infrastructure, built on zero-trust principles to manage agent behavior, enforce security policies, and maintain sovereign control over AI systems rather than trusting external providers by default.
Agent Forge deploys interactive and autonomous agents via API or natural language prompts with governance built in from the start. API and SDK compatibility spans OpenAI, Anthropic, and MCP-compatible interfaces, working alongside frameworks like LangChain and CrewAI. A lightweight control plane runs on-premises alongside agents, enforcing runtime governance policies without manual intervention, with real-time observability into agent activity and supply-chain tracking across every model, tool, and agent in use.
Prediction Guard targets platform engineers needing visibility and leak prevention, software vendors embedding governance into their own products, AI engineers building agents with controls in place, and enterprise or regulated organizations requiring on-premises deployment. Reported metrics include 90% fewer services versus NIST compliance alternatives, 300% faster time-to-production, and 4x lower total cost of ownership. Pricing isn’t disclosed; book a demo or get started to learn more.
