Field notes on governed agentic AI.
Practical writing on governance, model routing, and deployment from the team building the Trunnion control plane. Short, opinionated, and grounded in how governed agents actually run.
ExplainerAgentic AI vs. generative AI
A practical comparison of generative and agentic AI: what each system does, how risk changes when models can act, and what enterprise buyers should test.
GovernanceHash-chained audit trails for AI agents
How hash-linked records can expose changes in an AI agent's execution history, what the chain must capture, and what buyers should verify in a release.
GovernanceGovernance before autonomy
Before you turn agents loose in the enterprise, put policy, approval, and audit in place: ABAC, human-in-the-loop gates, and hash-chained audit trails.
PlatformThe case for LLM-agnostic AI
Why an enterprise agent platform should route across models instead of betting on one provider, and why sensitive work belongs on models you can self-host.
DeploymentRunning agents in air-gapped environments
Design considerations for agent workflows in air-gapped and classified environments, including on-premise models, identity, authorization, and reviewable audit records.
See governed agents run on your workflow.
Reading about governance is one thing. Seeing the control plane gate a real action is another. Request a demo in your environment, from cloud to air-gap.