AI and Agent Governance¶
Govern is part of the AI Control Plane, alongside Agents and Engineering.
Running AI in production takes more than building agents — it takes continuous visibility and control across the full AI lifecycle: evaluating and observing agents, enforcing policies at runtime, managing cost, and proving regulatory compliance. These capabilities are powered by IBM watsonx.governance and IBM watsonx Orchestrate.
The Govern building blocks provide frameworks, production-ready code samples, and tools to help you run AI that is reliable, transparent, and compliant. Whether you're evaluating and red-teaming agents before deployment, enforcing guardrails in production, tracking AI consumption and cost, or mapping AI use cases to regulations — Govern has you covered.
Building Blocks¶
| Building Block | What It Does |
|---|---|
| Agent Ops | Evaluate, observe, and optimize your AI agents throughout the lifecycle — benchmarking, red-teaming, failure analysis, traces, and latency |
| Guardrails | Enforce runtime policy on agents, tools, and models — PII filters, content safety, secrets detection, rate limits, model fallback, and Pass/Flag/Block checks for any framework |
| Cost Management | Track what watsonx Orchestrate agents cost — tokens per agent and conversation in the platform, and cost in dollars per trace, session, and evaluation scenario with Langfuse |
| Compliance | Ensure your AI applications meet regulatory requirements and industry standards for responsible AI use |
Getting Started¶
- Choose the building block that matches your current need.
- Explore the assets folder in the repository for ready-to-use code samples and SDKs.
- Check bob-modes for AI-assisted evaluation workflows.
GitHub Repository