Galileo on Thursday launched Agent Control, a platform that sits above an organization's AI agents and enforces safety policies before those agents do something they shouldn't.
The pitch is straightforward: companies running a dozen specialized agents across different frameworks end up with a dozen different guardrail setups, none of them talking to each other. Agent Control is meant to replace that mess with a single governance layer that can intercept and evaluate agent actions regardless of what framework or cloud they're running on.
The release includes an open-source instrumentation component alongside a paid enterprise tier covering policy management, compliance reporting, and alerting. It's the same structure you see from most observability startups — get engineers to instrument their systems for free, then sell the dashboard and controls to whoever signs the procurement contract.
Galileo is stepping into a fight that's already underway. LangChain's LangSmith, Weights & Biases, and Arize AI are all building in the same direction, and the category is getting crowded fast as enterprises push past pilot projects into agents that actually take consequential actions. Galileo's bet is that centralization is the differentiator — that regulated industries in particular will want one audit trail and one policy engine, not a patchwork.
That's a reasonable bet given where the regulatory environment is heading. Finance and healthcare companies putting autonomous agents on anything resembling a production workflow are going to face questions from compliance teams and, eventually, regulators. A centralized control plane becomes an easier answer to those questions than trying to explain a dozen bespoke setups.